Associate Professor Jinsong Huang

Associate Professor Jinsong Huang

Associate Professor

School of Engineering

Career Summary

Biography

Dr Jinsong Huang BE MS PHD MASCE

Education: Dr Jinsong Huang obtained his BE, MS and PhD Degrees in Civil Engineering from Huazhong University of Science and Technology, one of the top-ten universities in China. He started his academic career at Wuhan University (another top-ten university in China) in 1997 and was promoted to Associate Professor in 1999. From 2005-2010, he was employed as a Research Associate Professor at Colorado School of Mines, USA. From 2011-2017, he worked as a Research Academic at the ARC Centre of Excellence for Geotechnical Science and Engineering. He is now a associate professor at the University of Newcastle.

Background: Dr Huang is acknowledged as a leading international researcher in Georisk. He was awarded the prestigious Regional Contribution Award by the International Association for Computer Methods and Advances in Geomechanics (Kyoto, 2014) in recognition of his distinguished scientific contributions to the advancement of probabilistic methods and numerical simulations in geotechnical engineering. In 2017, he was awarded the 2017 GEOSNet Award in recognition of his established reputation for having made substantial contributions to the discipline of geotechnical reliability assessment. He served as the editor-in-chief of the special issue “Modelling spatial variability in geotechnical engineering” in the journal Georisk.  He is an editorial board member for two high-profile journals, Computers and Geotechnics and Georisk. Dr Huang has been invited to deliver numerous lectures at international conferences, universities and industrial workshops. He serves as a committee member on the ASCE Geo-Institute’s Technical Committee on Risk Assessment and Management (RAM) and the ISSMGE Technical Committee (TC304) on Engineering Practice of Risk Assessment & Management. He is also active in organizing workshops and mini-symposia at leading international conferences and will serve as vice-chair of the technical committee of the 6th International Symposium on Geotechnical Safety and Risk, 2017, Denver, USA. Dr Huang holds a Guest Professorship at Nanchang University, China.

Expertise: Dr Huang distinguishes himself from other researchers by combining rigorous numerical simulation techniques and advanced probabilistic methods. He has had a significant impact on the risk assessment of slope stability and landslides. This is confirmed by the fact that two of his publications in this area have the highest citation count of any article published in Soils and Foundations and the ASCE Journal of Geotechnical and Geoenvironmental Engineering in the past 5 years. His research findings on this theme will lead to more cost-effective designs of slopes in mining engineering and embankments for transportation infrastructure. He has also made a significant impact in petroleum geomechanics. He developed new algorithms for wellbore stability analysis and the inversion of in-situ stresses from hydraulic fracturing data, which eliminated the inconsistency in the results obtained by traditional methods. The impact of this work led to invited talks to the Shell Oil Company in Houston, Bitcan Geoscience and Engineering in Calgary, the MetaRock Lab in Houston, and FractOptima in California. This work has also helped to secure a GOALI project from the National Science Foundation, USA  (which is equivalent to a Linkage Project from the ARC). Dr Huang has also studied the fundamental issues for developing accurate, robust and fast numerical algorithms for the modelling of complex soil and rock mechanics problems. In the area of continuum mechanics, he solved a numerical singularity in the return mapping algorithm for the Mohr-Coulomb model which is commonly used for geomechanics problems. This has led to more robust and efficient implementations of elastoplasticity models. In the area of discontinuum mechanics, Dr Huang and his co-workers have developed a novel variational formulation of contact dynamics for the modelling of granular materials, which has proved to be very efficient. Recently, Dr Huang and his research team have devoted much of their effort to stochastic site investigation and ground improvement, since a substantial proportion of road and rail infrastructure in Australia is constructed on soft ground. By developing cost-effective soft ground improvement technology, and reducing the usage of cement (and hence the carbon footprint), this research will result in safer, cheaper and environmentally friendly transportation systems in Australia.

Capacity: Dr Huang has played a leading role in the research of Georisk at the ARC Centre of Excellence for Geotechnical Science and Engineering (CGSE). This is evidenced by the fact that he organized workshops on Georisk at all annual CGSE meetings. He was also included as a Research Leader for the Georisk theme in the Centre re-bid (2015). Since his appointment in the CGSE in 2010, he has made excellent progress in the challenging area of Georisk and has developed close affiliations with the geotechnical industry. Since 2010, he has published over 50 journal and 30 conference papers in high impact outlets such as Géotechnique, the ASCE Journal of Geotechnical and Geoenvironmental Engineering, the International Journal of Solids and Structures, Computers and Geotechnics, the International Journal of Rock Mechanics and Mining Sciences and Granular Matter. He has served as a reviewer for more than twenty international journals and received an outstanding reviewer award from Computers and Geotechnics in 2012. One of his recent papers on risk and opportunity management, co-authored with industrial partner Dr Richard Kelly (Chief Technical Principal of SMEC), was given a 2015 Editor’s choice award in the Canadian Geotechnical Journal. Dr Huang is currently supervising four PhD students (two as principle supervisor), one Masters student and three visiting PhD students. Dr Huang has worked in three counties and four universities, and developed close collaborations with leading international colleagues including Professor D.V. Griffiths (Colorado School of Mines), Professor Gordon Fenton (Dalhousie University), Dr Jinhui Li, (Harbin University of Technology), Professor Dianqing Li (Wuhan University) and Professor Chuangbin Zhou (President of Nanchang University).

Impact: Dr Huang has established himself as a leading researcher in risk assessment in geotechnical engineering. This is evidenced by an exponentially accelerating citation rate. His work on the risk assessment of slope stability and landslides, modelling spatial variability, stress integration of elastoplastic models, contact dynamics and hydraulic fracturing is well cited in the literature.  He has an H-index of 16 in Scopus, where he now attracts more than 200 citations per year. His top 20 cited papers have all been published after 2008. Considering the relatively low citation rates in civil engineering and the young age of his publications, his current citation counts are outstanding and confirm the academic impact of his research. Dr Huang has implemented various finite element programs. Some of these have been published in the 5th edition of "Programming the Finite Element Method" by I.M. Smith and D. V. Griffiths, which one of the most widely used finite element textbooks in the world.


Qualifications

  • Doctor of Philosophy, Huazhong University of Science and Technology

Keywords

  • Civil Engineering
  • Computational geomechanics
  • Probabilistic Geotechnics

Languages

  • Chinese, nec (Mother)
  • English (Fluent)

Fields of Research

Code Description Percentage
090501 Civil Geotechnical Engineering 100

Professional Experience

UON Appointment

Title Organisation / Department
Associate Professor University of Newcastle
School of Engineering
Australia

Academic appointment

Dates Title Organisation / Department
1/01/2005 - 1/08/2010 Research Associate Professor Colorado School of Mines
School of Engineering
United States
1/07/1999 - 1/12/2004 Associate Professor Wuhan University
School of Engineering
China

Teaching

Code Course Role Duration
CIVL2050 Engineering Computations and Probability
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Lecturer 26/06/2017 - 13/07/2017
CIVL2050 Engineering Computations and Probability
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Lecturer and course coordinator 24/07/2017 - 15/12/2017
civl4830 STRESS AND FINITE ELEMENT ANAL (S2 2015 CALLAGHAN)
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Lecturer 21/07/2014 - 11/11/2016
CIVL4660 PROJECT S2 (S2 2015 CALLAGHAN)
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Supervisor 22/07/2015 - 4/12/2018
CIVL2060 NUMERICAL METHODS (S1 2018 CALLAGHAN)
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Lecturer and course coordinator 26/02/2018 - 27/07/2018
Edit

Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (1 outputs)

Year Citation Altmetrics Link
2012 Li H, Zhou X, Chen C, Huang Y, Bao L, Bao T, et al., 'Preface', (2012) [B2]
Co-authors Mark Stewart

Journal article (89 outputs)

Year Citation Altmetrics Link
2018 Jiang SH, Huang J, 'Modeling of non-stationary random field of undrained shear strength of soil for slope reliability analysis', Soils and Foundations, 58 185-198 (2018)

© 2018 The spatial variability of soil properties is often assumed to be modeled as stationary or weakly stationary random fields in slope reliability analyses. However, abundant ... [more]

© 2018 The spatial variability of soil properties is often assumed to be modeled as stationary or weakly stationary random fields in slope reliability analyses. However, abundant site-specific data have revealed that the mean and standard deviation of soil properties, such as the undrained shear strength of soil, change with depth. Thus, the non-stationary characteristics of soil properties need to be properly accounted for. The aim of this paper is to propose a non-stationary random field (RF) model for the characterization of the spatial variability and the depth-dependent nature of the undrained shear strength of soil. With the proposed model, the uncertainties of the trend and fluctuating components can be modeled individually. As an example, a clay slope under undrained conditions is investigated to illustrate the proposed model. A subset simulation is carried out to evaluate the slope reliability incorporating the non-stationary characteristics of soil properties. The advantages of the proposed model, relative to the existing non-stationary RF models and the commonly-used stationary RF model in the literature, are demonstrated through a series of sensitivity studies.

DOI 10.1016/j.sandf.2017.11.006
Citations Scopus - 2
2018 Meng J, Huang J, Sloan SW, Sheng D, 'Discrete modelling jointed rock slopes using mathematical programming methods', Computers and Geotechnics, 96 189-202 (2018) [C1]
DOI 10.1016/j.compgeo.2017.11.002
Citations Scopus - 2Web of Science - 1
Co-authors Scott Sloan, Daichao Sheng
2018 Zheng D, Huang J, Li DQ, Kelly R, Sloan SW, 'Embankment prediction using testing data and monitored behaviour: A Bayesian updating approach', Computers and Geotechnics, 93 150-162 (2018) [C1]
DOI 10.1016/j.compgeo.2017.05.003
Citations Scopus - 5Web of Science - 5
Co-authors Scott Sloan
2018 Kelly RB, Sloan SW, Pineda JA, Kouretzis G, Huang J, 'Outcomes of the Newcastle symposium for the prediction of embankment behaviour on soft soil', Computers and Geotechnics, 93 9-41 (2018) [C1]
DOI 10.1016/j.compgeo.2017.08.005
Citations Scopus - 5Web of Science - 1
Co-authors Georgios Kouretzis, Scott Sloan, Jubert Pineda
2018 Huang F, Yin K, Jiang S, Huang J, Cao Z, 'Landslide susceptibility assessment based on clustering analysis and support vector machine', Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 37 156-167 (2018)

© 2018, Science Press. All right reserved. The non-landslide grid cells are selected randomly and/or subjectively when the machine learning models, such as the support vector mach... [more]

© 2018, Science Press. All right reserved. The non-landslide grid cells are selected randomly and/or subjectively when the machine learning models, such as the support vector machine (SVM), are used to calculate the susceptibility indexes of regional landslides. However, it is difficult to determine whether the randomly selected non-landslide grid cells are reasonable"non-landslide"with very low susceptibility. To overcome this drawback, a model based on the combined clustering analysis and SVM is proposed. Firstly, the neural network with self-organizing mapping (SOM) is proposed to automatically classify the landslide susceptibility of all the grid cells into five classes: very low, low, moderate, high and very high susceptibility. Then, the reasonable non-landslide grid cells are selected from the area of very low susceptibility. Finally, the SVM is used to calculate the indexes of landslide susceptibility based on the recorded landslide grid cells, the selected non-landslide grid cells and the environmental factors. The proposed SOM-SVM model is used to calculate the susceptibility indexes of landslide in Wanzhou district of Three Gorges Reservoir area. The calculated results with the SOM-SVM model are compared with the results from the single SVM model which selects the non-landslide grid cells randomly. The results show that the SOM-SVM model has higher success and prediction rates than the single SVM. It is thus concluded that the non-landslide grid cells selected by the SOM neural network are more reasonable than the non-landslide grid cells selected randomly.

DOI 10.13722/j.cnki.jrme.2017.0824
2018 Jiang SH, Yang JH, Yao C, Huang JS, 'Quantitative risk assessment of slope failure considering spatial variability of soil properties', Gongcheng Lixue/Engineering Mechanics, 35 136-147 (2018)

© 2018, Engineering Mechanics Press. All right reserved. Quantitative risk assessment of slope failure is an important prerequisite for formulating rational strategies for landsli... [more]

© 2018, Engineering Mechanics Press. All right reserved. Quantitative risk assessment of slope failure is an important prerequisite for formulating rational strategies for landslide risk mitigation and developing landslide risk-based warning system. However, the risk of slope failure in two-dimensional (2-D) spatially variable soils cannot be effectively evaluated. This paper aims to propose an efficient approach for quantitative risk assessment of slope failure considering 2-D spatial variability of soil properties in the framework of Monte-Carlo simulation (MCS) and limit-equilibrium analysis of slope stability. The proposed approach comprising of 2-D spatial variation modeling of soil properties, stability analyses of spatially variable soil slopes, identification of representative slip surfaces and quantitative risk assessment of slope failure is described. The failure risks of a two-layered soil slope example under three cases are investigated to demonstrate the effectiveness of the proposed approach. The results indicate that the proposed approach has the following advantages: 1) it can effectively identify the representative slip surfaces (i.e., key failure modes) of spatially variable slopes; 2) it can produce accurate risk of slope failure with much less computational efforts and provide an effective means for quantitative risk assessment of slope failure at low-probability levels in 2-D spatially variable soils; 3) it can quantify the contributions of each key failure mode to the probability and risk of slope failure, and hence provide an important reference for landslide risk mitigation measures.

DOI 10.6052/j.issn.1000-4750.2016.08.0657
2018 Jiang SH, Yao C, Yang JH, Jiang QH, Huang JS, 'Model correction factor method based approach for reliability analysis of spatially variable slopes', Gongcheng Lixue/Engineering Mechanics, 35 154-161 (2018)

© 2018, Engineering Mechanics Press. All right reserved. Reliability analysis of spatially variable slopes involves repeatedly evaluating the slope stability using a deterministic... [more]

© 2018, Engineering Mechanics Press. All right reserved. Reliability analysis of spatially variable slopes involves repeatedly evaluating the slope stability using a deterministic analysis method such as the limit equilibrium method (LEM) or the finite element method (FEM). The LEM is conceptually simple and computationally efficient, while the FEM tends to give a more realistic prediction of slope failure mechanism, particularly when considering the spatial variability of soil properties. Thus, it is of great interest to adopt advantages of both LEM and FEM in estimating the reliability of slope stability. This paper aims to propose a model correction factor method (MCFM) based approach for reliability analysis of spatially variable slopes. In this approach, first-order reliability method is adopted for slope reliability analysis considering spatial variation. A model correction factor is introduced to modify the idealized LEM-based limit-state surface to the more accurate FEM-based limit-state surface. Finally, a line sampling is adopted to estimate the probability of slope failure based on the corrected LEM model with the model correction factor. The reliability assessment of a cohesive-frictional slope example is studied to investigate the performance of the proposed approach considering the spatial variability of the soil strength parameters. The results indicate the proposed approach not only provides an accurate estimation of probability of failure consistent with that obtained from the FEM-based subset simulation, but also significantly reduces the number of finite element analyses of slope stability. Thus, it provides an effective and versatile tool for slope reliability analysis at low-probability levels considering the spatial variability of the soil strength parameters.

DOI 10.6052/j.issn.1000-4750.2017.04.0308
2018 Tang G, Huang J, Sheng D, Sloan SW, 'Stability analysis of unsaturated soil slopes under random rainfall patterns', Engineering Geology, 245 322-332 (2018) [C1]
DOI 10.1016/j.enggeo.2018.09.013
Co-authors Scott Sloan, Daichao Sheng
2018 Li C, Huang J, Wu L, Lu J, Xia C, 'Approximate analytical solutions for one-dimensional consolidation of a clay layer with variable compressibility and permeability under a ramp loading', International Journal of Geomechanics, 18 06018032-1-06018032-10 (2018) [C1]
DOI 10.1061/(ASCE)GM.1943-5622.0001296
2018 Huang F, Chen L, Yin K, Huang J, Gui L, 'Object-oriented change detection and damage assessment using high-resolution remote sensing images, Tangjiao Landslide, Three Gorges Reservoir, China', Environmental Earth Sciences, 77 (2018) [C1]
DOI 10.1007/s12665-018-7334-5
2018 Jiang SH, Zeng SH, Yang JH, Yao C, Huang JS, Zhou CB, 'Slope reliability analysis by simulation of non-stationary random field of undrained shear strength', Yantu Lixue/Rock and Soil Mechanics, 39 1071-1081 (2018)

© 2018, Science Press. All right reserved. Spatial variabilities of soil properties are usually modeled by stationary or weakly stationary random fields in slope reliability analy... [more]

© 2018, Science Press. All right reserved. Spatial variabilities of soil properties are usually modeled by stationary or weakly stationary random fields in slope reliability analysis. However, abundant in-situ data demonstrates that the means and standard deviations of soil properties such as undrained shear strength change with the soil depth. Thus, it is important to develop non-stationary random field models and approaches to model spatial variations of soil properties. To tackle the uncertainties of the trend component and fluctuation of component in existing models, this paper proposes an effective non-stationary random field model of undrained shear strength. The approach for modeling the two-dimensional non-stationary random fields of soil properties is also presented. Thereafter, the effectiveness of the proposed model is illustrated by comparisons with the existing non-stationary random field models and stationary random field models of soil properties systematically. A clay slope under undrained conditions is investigated to explore the effect of the non-stationary distribution characteristics of undrained shear strength along the depth on the slope reliability. The results indicate that the proposed model can simulate the uncertainties of the trend component and fluctuating component separately. Both the means and standard deviations of soil properties increase with the depth. It provides an effective means for characterizing the non-stationary distribution characteristics of soil properties. Compared with the slope reliability analysis results underlying the non-stationary random fields, it will lead to an underestimation of the probability of failure and dangerous slope engineering designs when the commonly-used stationary random fields are utilized to model the spatial variability of soil properties.

DOI 10.16285/j.rsm.2016.0609
2018 Liu W, Luo X, Huang J, Hu L, Fu M, 'Probabilistic Analysis of Tunnel Face Stability below River Using Bayesian Framework', Mathematical Problems in Engineering, 2018 (2018) [C1]
DOI 10.1155/2018/1450683
2018 Jiang SH, Huang J, Huang F, Yang J, Yao C, Zhou CB, 'Modelling of spatial variability of soil undrained shear strength by conditional random fields for slope reliability analysis', Applied Mathematical Modelling, 63 374-389 (2018) [C1]
DOI 10.1016/j.apm.2018.06.030
2018 Jiang SH, Wei BW, Zhang WJ, Jiang XH, Huang JS, 'Probabilistic back analysis of spatially varying soil properties and reliability updating of slopes with multiple sources of test data', Yantu Lixue/Rock and Soil Mechanics, 39 1491-1499 (2018)

© 2018, Science Press. All right reserved. In general, limited test data can be collected from geotechnical site investigation. However, it is typically difficult to accurately ch... [more]

© 2018, Science Press. All right reserved. In general, limited test data can be collected from geotechnical site investigation. However, it is typically difficult to accurately characterize the spatial variation in soil properties with limited test data. This paper aims to propose a probabilistic back analysis and reliability updating approach considering the spatial variability of soil properties. With this approach, multiple sources of test data including laboratory and in situ test data can be utilized to rationally back analyze the spatially varying soil properties and update the slope reliability. The implementation procedures of the proposed approach are presented step by step. In addition, a non-stationary random field model of undrained shear strength is developed for proper characterization of the prior information of soil property. Finally, a clay slope under undrained conditions is investigated to demonstrate the effectiveness of the proposed approach. The influences of the test data and borehole location on the posterior probability of slope failure are also addressed. The results indicate that the proposed approach can effectively back analyze the spatially varying soil properties and update the slope reliability. By incorporating multiple sources of test data into the Bayesian analysis, the estimated means of soil parameters are consistent with the test data. The uncertainties of soil parameters are greatly reduced and the slope reliability is significantly improved. Due to spatial variation, test data has a stronger effect on the updating of soil parameter statistics with short distances to the borehole locations of measurement, compared with soil parameter statistics with long distances to the borehole locations.

DOI 10.16285/j.rsm.2016.2257
2018 Meng J, Huang J, Yao C, Sheng D, 'A discrete numerical method for brittle rocks using mathematical programming', Acta Geotechnica, 13 283-302 (2018) [C1]
DOI 10.1007/s11440-017-0583-8
Citations Scopus - 2
Co-authors Daichao Sheng
2018 Huang J, Zheng D, Li D-Q, Kelly R, Sloan SW, 'Probabilistic characterization of two-dimensional soil profile by integrating cone penetration test (CPT) with multi-channel analysis of surface wave (MASW) data', CANADIAN GEOTECHNICAL JOURNAL, 55 1168-1181 (2018) [C1]
DOI 10.1139/cgj-2017-0429
Co-authors Scott Sloan
2018 Meng J, Huang J, Sheng D, Sloan SW, 'Closure to "Quasi-Static Rheology of Granular Media Using the Static DEM" by J. Meng, J. Huang, D. Sheng, and S. W. Sloan', INTERNATIONAL JOURNAL OF GEOMECHANICS, 18 (2018)
DOI 10.1061/(ASCE)GM.1943-5622.0001311
Co-authors Scott Sloan, Daichao Sheng
2017 Meng J, Huang J, Sheng D, Sloan SW, 'Granular contact dynamics with elastic bond model', ACTA GEOTECHNICA, 12 479-493 (2017) [C1]
DOI 10.1007/s11440-016-0481-5
Citations Scopus - 5Web of Science - 1
Co-authors Scott Sloan, Daichao Sheng
2017 Van Ngoc P, Turner B, Huang J, Kelly R, 'Experimental study on the durability of soil-cement columns in coastal areas', Geotechnical Engineering, 48 138-143 (2017) [C1]
2017 Huang F, Yin K, Huang J, Gui L, Wang P, 'Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine', Engineering Geology, 223 11-22 (2017) [C1]

© 2017 Among the machine learning models used for landslide susceptibility indexes calculation, the support vector machine (SVM) is commonly used; however, SVM is time-consuming. ... [more]

© 2017 Among the machine learning models used for landslide susceptibility indexes calculation, the support vector machine (SVM) is commonly used; however, SVM is time-consuming. In addition, the non-landslide grid cells are selected randomly and/or subjectively, which may result in unreasonable training and validating data for the machine learning models. This study proposes the self-organizing-map (SOM) network-based extreme learning machine (ELM) model to calculate the landslide susceptibility indexes. Wanzhou district in Three Gorges Reservoir Area is selected as the study area. Nine environmental factors are chosen as input variables and 639 investigated landslides are used as recorded landslides. First, an initial landslide susceptibility map is produced using the SOM network, and the reasonable non-landslide grid cells are subsequently selected from the very low susceptible area. Next, the final landslide susceptibility map is produced using the ELM model based on the recorded landslides and reasonable non-landslide grid cells. The single ELM model which selects the non-landslide grid cells randomly, and the SOM network-based SVM model are used for comparisons. It is concluded that the SOM-ELM model possesses higher success and prediction rates than the single ELM and SOM-SVM models, and the ELM has a considerably higher prediction efficiency than the SVM.

DOI 10.1016/j.enggeo.2017.04.013
Citations Scopus - 7Web of Science - 6
2017 Jiang SH, Huang J, Zhou CB, 'Efficient system reliability analysis of rock slopes based on Subset simulation', Computers and Geotechnics, 82 31-42 (2017) [C1]

© 2016 Elsevier Ltd How to efficiently assess the system reliability of rock slopes is still challenging. This is because when the probability of failure is low, a large number of... [more]

© 2016 Elsevier Ltd How to efficiently assess the system reliability of rock slopes is still challenging. This is because when the probability of failure is low, a large number of deterministic slope stability analyses are required. Based on Subset simulation, this paper proposes an efficient approach for the system reliability analysis of rock slopes. The correlations among multiple potential failure modes are properly accounted for with the aid of the ¿max¿ and ¿min¿ functions. A benchmark rock slope and a real engineered rock slope with multiple correlated failure modes are used to demonstrate the effectiveness of the proposed approach.

DOI 10.1016/j.compgeo.2016.09.009
Citations Scopus - 5Web of Science - 5
2017 Ma JZ, Zhang J, Huang HW, Zhang LL, Huang JS, 'Identification of representative slip surfaces for reliability analysis of soil slopes based on shear strength reduction', COMPUTERS AND GEOTECHNICS, 85 199-206 (2017) [C1]
DOI 10.1016/j.compgeo.2016.12.033
Citations Scopus - 5Web of Science - 3
2017 Huang J, Fenton G, Griffiths DV, Li D, Zhou C, 'On the efficient estimation of small failure probability in slopes', LANDSLIDES, 14 491-498 (2017) [C1]
DOI 10.1007/s10346-016-0726-2
Citations Scopus - 7Web of Science - 6
2017 Ali A, Lyamin AV, Huang J, Li JH, Cassidy MJ, Sloan SW, 'Probabilistic stability assessment using adaptive limit analysis and random fields', ACTA GEOTECHNICA, 12 937-948 (2017) [C1]
DOI 10.1007/s11440-016-0505-1
Citations Scopus - 1
Co-authors Andrei Lyamin, Scott Sloan
2017 Luo X, Liu W, Fu M, Huang J, 'Probabilistic analysis of soil-water characteristic curve with Bayesian approach and its application on slope stability under rainfall via a difference equations approach', Journal of Difference Equations and Applications, 23 322-333 (2017) [C1]
DOI 10.1080/10236198.2016.1226291
Citations Scopus - 1Web of Science - 1
2017 Li Y, Huang J, Jiang SH, Huang F, Chang Z, 'A web-based GPS system for displacement monitoring and failure mechanism analysis of reservoir landslide', Scientific Reports, 7 (2017) [C1]

© 2017 The Author(s). It is important to monitor the displacement time series and to explore the failure mechanism of reservoir landslide for early warning. Traditionally, it is a... [more]

© 2017 The Author(s). It is important to monitor the displacement time series and to explore the failure mechanism of reservoir landslide for early warning. Traditionally, it is a challenge to monitor the landslide displacements real-timely and automatically. Globe Position System (GPS) is considered as the best real-time monitoring technology, however, the accuracies of the landslide displacements monitored by GPS are not assessed effectively. A web-based GPS system is developed to monitor the landslide displacements real-timely and automatically in this study. And the discrete wavelet transform (DWT) is proposed to assess the accuracy of the GPS monitoring displacements. Wangmiao landslide in Three Gorges Reservoir area in China is used as case study. The results show that the web-based GPS system has advantages of high precision, real-time, remote control and automation for landslide monitoring; the Root Mean Square Errors of the monitoring landslide displacements are less than 5 mm. Meanwhile, the results also show that a rapidly falling reservoir water level can trigger the reactivation of Wangmiao landslide. Heavy rainfall is also an important factor, but not a crucial component.

DOI 10.1038/s41598-017-17507-7
2017 Pham VN, Turner B, Huang J, Kelly R, 'Long-term strength of soil-cement columns in coastal areas', Soils and Foundations, 57 645-654 (2017) [C1]
DOI 10.1016/j.sandf.2017.04.005
2017 Huang J, Fenton GA, Zhang L, Griffiths DV, 'Preface', Geotechnical Special Publication, iii (2017) [C3]
DOI 10.1061/9780784480700.fm
Citations Scopus - 1
Co-authors Jiabao Yi, Reza Moheimani
2017 Griffiths DV, Fenton GA, Huang J, Zhang L, 'Preface', Geotechnical Special Publication, iii-iii (2017) [C3]
DOI 10.1061/9780784480694.fm
Co-authors Irina Belova, Graeme Murch
2017 Li L, Li J, Huang J, Liu H, Cassidy MJ, 'The bearing capacity of spudcan foundations under combined loading in spatially variable soils', Engineering Geology, 227 139-148 (2017) [C1]
DOI 10.1016/j.enggeo.2017.03.022
Citations Scopus - 1Web of Science - 2
2017 Li L, Li J, Huang J, Gao FP, 'Bearing capacity of spudcan foundations in a spatially varying clayey seabed', Ocean Engineering, 143 97-105 (2017) [C1]

© 2017 Elsevier Ltd Spudcan foundations are often pushed into a spatially varying non-homogeneous seabed to provide bearing capacity for a mobile jack-up platform. The natural var... [more]

© 2017 Elsevier Ltd Spudcan foundations are often pushed into a spatially varying non-homogeneous seabed to provide bearing capacity for a mobile jack-up platform. The natural variability of soil properties coupled with the complexity of loading conditions make determining the bearing capacity of spudcan foundations a challenging problem. A random finite element method is established to investigate the bearing capacity of a spudcan foundation embedded in a spatially varying clayey seabed when subjected to vertical, horizontal and moment loadings. A criterion is proposed for determining the characteristic value of the shear strength for the random seabed. Results indicate that the spatial variability in the clayey seabed significantly reduces the bearing capacity of a spudcan foundation. This reduction is more significant in the vertical bearing capacity than in the horizontal and moment bearing capacities. The mean bearing capacity is smaller for the clay with larger coefficient of variation of undrained shear strength. A characteristic value of mean minus a standard deviation of the undrained shear strength is capable to ensure the probability of failure is not greater than 5%. This study provide an evaluation method for the spatial variability effect of a clayey seabed, paving the way for a cost-effective design of spudcan foundations.

DOI 10.1016/j.oceaneng.2017.05.026
Citations Web of Science - 1
2017 Jiang S-H, Wei B-W, Huang J-S, 'Probabilistic back analysis of slope failure considering spatial variability of soil properties', Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, 39 475-485 (2017)
DOI 10.11779/CJGE201703011
2017 Huang F, Huang J, Jiang SH, Zhou C, 'Prediction of groundwater levels using evidence of chaos and support vector machine', Journal of Hydroinformatics, 19 586-606 (2017) [C1]
DOI 10.2166/hydro.2017.102
Citations Scopus - 3Web of Science - 3
2017 Zhu D, Griffiths DV, Huang J, Fenton GA, 'Probabilistic stability analyses of undrained slopes with linearly increasing mean strength', GEOTECHNIQUE, 67 733-746 (2017) [C1]
DOI 10.1680/jgeot.16.P.223
Citations Scopus - 2Web of Science - 1
2017 Jiang SH, Huang J, Yao C, Yang J, 'Quantitative risk assessment of slope failure in 2-D spatially variable soils by limit equilibrium method', Applied Mathematical Modelling, 47 710-725 (2017) [C1]
DOI 10.1016/j.apm.2017.03.048
Citations Scopus - 12Web of Science - 11
2017 Ali A, Lyamin AV, Huang J, Sloan SW, Cassidy MJ, 'Undrained stability of a single circular tunnel in spatially variable soil subjected to surcharge loading', COMPUTERS AND GEOTECHNICS, 84 16-27 (2017) [C1]
DOI 10.1016/j.compgeo.2016.11.013
Citations Scopus - 3Web of Science - 3
Co-authors Andrei Lyamin, Scott Sloan
2017 Meng J, Huang J, Sheng D, Sloan SW, 'Quasi-static rheology of granular media using the static DEM', International Journal of Geomechanics, 17 04017094-1-04017094-17 (2017) [C1]
DOI 10.1061/(ASCE)GM.1943-5622.0001001
Co-authors Daichao Sheng, Scott Sloan
2017 Huang F, Huang J, Jiang S, Zhou C, 'Landslide displacement prediction based on multivariate chaotic model and extreme learning machine', Engineering Geology, 218 173-186 (2017) [C1]
DOI 10.1016/j.enggeo.2017.01.016
Citations Scopus - 9Web of Science - 9
2016 Jiang S-H, Huang J-S, 'Efficient slope reliability analysis at low-probability levels in spatially variable soils', COMPUTERS AND GEOTECHNICS, 75 18-27 (2016) [C1]
DOI 10.1016/j.compgeo.2016.01.016
Citations Scopus - 26Web of Science - 22
2016 Huang J, Kelly R, Li D, Zhou C, Sloan S, 'Updating reliability of single piles and pile groups by load tests', Computers and Geotechnics, 73 221-230 (2016) [C1]

© 2015 Elsevier Ltd. Pile load tests are used to refine designs and for quality assurance. They can also be used to verify the reliability of piles and pile groups. Stochastic met... [more]

© 2015 Elsevier Ltd. Pile load tests are used to refine designs and for quality assurance. They can also be used to verify the reliability of piles and pile groups. Stochastic methods have previously been developed to verify the reliability of single piles. A general stochastic method to verify the reliability of pile groups is developed in this paper. The method can be used to assess the reliability of groups where pile tests have been conducted to the ultimate capacity, to below the ultimate capacity but exceeding specified capacity, and where pile tests fail to achieve the specified capacity. In the latter case, the method allows decisions to be made as to whether the reliability of the entire pile group is satisfactory or whether additional piles need to be installed.

DOI 10.1016/j.compgeo.2015.12.003
Citations Scopus - 14Web of Science - 12
Co-authors Scott Sloan
2016 Huang J, Griffiths DV, 'Modelling spatial variability in geotechnical engineering', Georisk, 10 1-1 (2016)
DOI 10.1080/17499518.2015.1123727
Citations Scopus - 3
2016 Li JH, Cassidy MJ, Tian Y, Huang J, Lyamin AV, Uzielli M, 'Buried footings in random soils: comparison of limit analysis and finite element analysis', Georisk, 10 55-65 (2016) [C1]

© 2015 Taylor & Francis. The limit analysis and the finite element method are powerful tools for analysing the bearing capacity of foundations. Previous research mainly focu... [more]

© 2015 Taylor & Francis. The limit analysis and the finite element method are powerful tools for analysing the bearing capacity of foundations. Previous research mainly focused on the foundations in uniform soils. In realistic conditions, soil properties are always varying spatially due to complex physical, chemical, and biological process in earth evolution. This paper investigates the bearing capacity and failure mechanism of footings buried at various depths in clays with spatially variable distribution of undrained shear strength using the lower bound limit analysis, the upper bound limit analysis, and the finite element analysis. Results show that the bearing capacity increases with increasing buried depths in spatially random soils, which is the same as in the uniform soils. The bearing capacity factors calculated using the finite element method, the lower bound limit analysis, and the upper bound limit analysis for a footing in spatially varied soils are all smaller than the corresponding values in uniform soils. The majority of the bearing capacity factors obtained from the finite element method is bounded by those obtained from the lower bound and the upper bound limit analysis. The shear planes show a clearly unsymmetrical manner in spatially varied soils using the three methods, which is different from the symmetrical shear plane in uniform soils.

DOI 10.1080/17499518.2015.1064141
Citations Scopus - 7Web of Science - 7
Co-authors Andrei Lyamin
2016 Zhou A, Huang J, Li CQ, 'Failure analysis of an infinite unsaturated soil slope', Proceedings of the Institution of Civil Engineers: Geotechnical Engineering, 169 410-420 (2016) [C1]
DOI 10.1680/jgeen.15.00172
Citations Scopus - 3Web of Science - 4
2016 Wu LZ, Selvadurai APS, Zhang LM, Huang RQ, Huang J, 'Poro-mechanical coupling influences on potential for rainfall-induced shallow landslides in unsaturated soils', ADVANCES IN WATER RESOURCES, 98 114-121 (2016) [C1]
DOI 10.1016/j.advwatres.2016.10.020
Citations Scopus - 8Web of Science - 9
2016 Li J, Cassidy MJ, Huang J, Zhang L, Kelly R, 'Probabilistic identification of soil stratification', GEOTECHNIQUE, 66 16-26 (2016) [C1]
DOI 10.1680/jgeot.14.P.242
Citations Scopus - 25Web of Science - 21
2016 Liu W, Luo X, Fu M, Huang J, 'Experiment and modeling of soil-water characteristic curve of unsaturated soil in collapsing erosion area', Polish Journal of Environmental Studies, 25 2509-2518 (2016) [C1]
DOI 10.15244/pjoes/64307
Citations Scopus - 1
2015 Kelly R, Huang J, 'Bayesian updating for one-dimensional consolidation measurements', Canadian Geotechnical Journal, 52 1318-1330 (2015) [C1]

© 2015, National Research Council of Canada, All Rights Reserved. After a geotechnical design has been developed, it is common to monitor performance during construction using the... [more]

© 2015, National Research Council of Canada, All Rights Reserved. After a geotechnical design has been developed, it is common to monitor performance during construction using the observational method by Peck (published in 1969). The observational method is a process where data are collected and geotechnical models updated, allowing timely decisions to be made with respect to risk and opportunity by asset owners or contractors. The observational method is similar to the mathematical formulation for Bayesian updating of material parameters based on measurements. A proof of concept study has been performed to assess the potential for Bayesian updating to be combined with the observational method to allow timely and accurate decision-making during construction of embankments on soft soils. The method was able to converge to an accurate solution prior to 50% consolidation assuming small measurement errors. It is also demonstrated that confidence in the predicted settlement is relatively low at the prior ¿design¿ stage and rapidly increases with three or four measurements spaced over time during the posterior ¿construction¿ phase.

DOI 10.1139/cgj-2014-0338
Citations Scopus - 14Web of Science - 9
2015 Huang J, Kelly R, Sloan SW, 'Stochastic assessment for the behaviour of systems of dry soil mix columns', Computers and Geotechnics, 66 75-84 (2015) [C1]

© 2015 Elsevier Ltd. The mechanical properties of dry soil mix (DSM) columns can be highly variable. Variability can be accounted for in the construction specification for determi... [more]

© 2015 Elsevier Ltd. The mechanical properties of dry soil mix (DSM) columns can be highly variable. Variability can be accounted for in the construction specification for deterministic design and directly in reliability based design. Design methods and specifications to date adopt simplifications that do not take the variability of the columns fully into account. This paper uses both simple and advanced probabilistic methods to assess the performance/failure and system redundancy of dry soil mix columns. Reliability-based design methods and examples are given for the design of column strength and the adjustment of the column spacing to achieve a target probability of unacceptable performance or failure. An acceptance criteria chart is developed. The pull-out resistance tests on the DSM columns constructed for the Ballina Bypass motorway construction project in NSW Australia are compared to the chart to provide guidance with respect to acceptance criteria required to achieve the desired performance.

DOI 10.1016/j.compgeo.2015.01.016
Citations Scopus - 2Web of Science - 2
Co-authors Scott Sloan
2015 Huang J, Griffiths D, 'Determining an appropriate finite element size for modelling the strength of undrained random soils', Computers and Geotechnics, 69 506-513 (2015) [C1]
DOI 10.1016/j.compgeo.2015.06.020
Citations Scopus - 19Web of Science - 18
2014 Ali A, Huang J, Lyamin AV, Sloan SW, Griffiths DV, Cassidy MJ, Li JH, 'Simplified quantitative risk assessment of rainfall-induced landslides modelled by infinite slopes', Engineering Geology, 179 102-116 (2014) [C1]

Rainfall induced landslides vary in depth and the deeper the landslide, the greater the damage it causes. This paper investigates, quantitatively, the risk of rainfall induced lan... [more]

Rainfall induced landslides vary in depth and the deeper the landslide, the greater the damage it causes. This paper investigates, quantitatively, the risk of rainfall induced landslides by assessing the consequence of each failure. The influence of the spatial variability of the saturated hydraulic conductivity and the nature of triggering mechanisms on the risk of rainfall-induced landslides (for an infinite slope) are studied. It is shown that a critical spatial correlation length exists at which the risk is a maximum and the risk is higher when the failure occurs due to a generation of positive pore water pressure. © 2014 Elsevier B.V.

DOI 10.1016/j.enggeo.2014.06.024
Citations Scopus - 33Web of Science - 26
Co-authors Scott Sloan, Andrei Lyamin
2014 Ali A, Huang J, Lyamin AV, Sloan SW, Cassidy MJ, 'Boundary effects of rainfall-induced landslides', Computers and Geotechnics, 61 341-354 (2014) [C1]

In the study of landslides, it is generally assumed that an impermeable boundary exists at a certain depth and failure occurs at this boundary. In reality this is not always the c... [more]

In the study of landslides, it is generally assumed that an impermeable boundary exists at a certain depth and failure occurs at this boundary. In reality this is not always the case and failures can occur at any depth. This paper aims to study the effect of boundary conditions on landslides, using a series of seepage and stability analyses performed over a range of rainfall intensities, and for different failure mechanisms, by studying the failure time and depths corresponding to fully drained, partially drained, and impermeable boundaries. It is shown that these conditions can significantly affect the occurrence and depth of rainfall-induced landslides. © 2014 Elsevier Ltd.

DOI 10.1016/j.compgeo.2014.05.019
Citations Scopus - 15Web of Science - 13
Co-authors Andrei Lyamin, Scott Sloan
2014 Huang J, Kelly R, Li L, Cassidy M, Sloan S, 'Use of bayesian statistics with the observational method', Australian Geomechanics Journal, 49 191-198 (2014) [C1]

The observational method is one of the most successful processes in geotechnical engineering. Performance monitoring data are the most reliable information that engineers can use ... [more]

The observational method is one of the most successful processes in geotechnical engineering. Performance monitoring data are the most reliable information that engineers can use to predict future performance of geotechnical projects. This paper presents two examples where Bayesian statistical methods can be used for the prediction of future performance. The first example is to update the capacity of piles using load test results. The second example is to update embankment settlement predictions when field settlement monitoring data are available.

Citations Scopus - 1
Co-authors Scott Sloan
2014 Li JH, Huang J, Cassidy MJ, Kelly R, 'Spatial variability of the soil at the Ballina National Field Test Facility', Australian Geomechanics Journal, 49 41-48 (2014)

This paper investigates the soil properties, stratigraphy and spatial variability of the soils at the National Field Test Facility in Ballina based on extensive CPTU tests. The so... [more]

This paper investigates the soil properties, stratigraphy and spatial variability of the soils at the National Field Test Facility in Ballina based on extensive CPTU tests. The soil profile in this site consists of an alluvial crust over a relatively weaker layer of clay and underlain with a layer of sand and Pleistocene age stiff clay. The measured cone penetration resistance, sleeve friction and pore pressure for 26 CPTUs are presented along with the deployment of the CPTUs. The spatial variability in both vertical and horizontal direction of each layer of soils is explored based on the CPTU tests. An exponential autocorrelation function is found to best fit the autocorrelation coefficients. The scale of fluctuation in the vertical direction is 0.04 m in the alluvial crust layer, which is much smaller than that in the underlying clay layer, 0.15 m. The reason is that the clay was deposited under lower energy conditions compared to the more granular crust layers. The horizontal scale of fluctuation is 9.21 m in the alluvial crust layer and 4.92 m in the clay layer.

Citations Scopus - 8
2013 Huang J, Krabbenhoft K, Lyarnin AV, 'Statistical homogenization of elastic properties of cement paste based on X-ray microtomography images', INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 50 699-709 (2013) [C1]
DOI 10.1016/j.ijsolstr.2012.10.030
Citations Scopus - 17Web of Science - 12
Co-authors Andrei Lyamin
2013 Griffiths DV, Paiboon J, Huang J, Fenton GA, 'Reliability analysis of beams on random elastic foundations', GEOTECHNIQUE, 63 180-188 (2013) [C1]
DOI 10.1680/geot.11.P.127
Citations Scopus - 4Web of Science - 3
2013 Paiboon J, Griffiths DV, Huang J, Fenton GA, 'Numerical analysis of effective elastic properties of geomaterials containing voids using 3D random fields and finite elements', INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 50 3233-3241 (2013) [C1]
DOI 10.1016/j.ijsolstr.2013.05.031
Citations Scopus - 19Web of Science - 15
2013 Huang J, Vicente da Silva M, Krabbenhoft K, 'Three-dimensional granular contact dynamics with rolling resistance', COMPUTERS AND GEOTECHNICS, 49 289-298 (2013) [C1]
DOI 10.1016/j.compgeo.2012.08.007
Citations Scopus - 33Web of Science - 27
2013 Huang J, Lyamin AV, Griffiths DV, Krabbenhoft K, Sloan SW, 'Quantitative risk assessment of landslide by limit analysis and random fields', COMPUTERS AND GEOTECHNICS, 53 60-67 (2013) [C1]
DOI 10.1016/j.compgeo.2013.04.009
Citations Scopus - 54Web of Science - 46
Co-authors Scott Sloan, Andrei Lyamin
2013 Yang C, Sheng D, Carter JP, Huang J, 'Stochastic Evaluation of Hydraulic Hysteresis in Unsaturated Soils', JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 139 1211-1214 (2013) [C1]
DOI 10.1061/(ASCE)GT.1943-5606.0000833
Citations Scopus - 4Web of Science - 3
Co-authors John Carter, Daichao Sheng
2012 Griffiths V, Paiboon J, Huang J, Fenton GA, 'Homogenization of geomaterials containing voids by random fields and finite elements', International Journal of Solids and Structures, 49 2006-2014 (2012) [C1]
Citations Scopus - 19Web of Science - 16
2012 Krabbenhoft K, Lyamin AV, Huang J, Vicente Da Silva MJ, 'Granular contact dynamics using mathematical programming methods', Computers and Geotechnics, 43 165-176 (2012) [C1]
DOI 10.1016/j.compgeo.2012.02.006
Citations Scopus - 40Web of Science - 27
Co-authors Andrei Lyamin
2012 Huang J, Griffiths DV, Wong S-W, 'Initiation pressure, location and orientation of hydraulic fracture', International Journal of Rock Mechanics and Mining Sciences, 49 59-67 (2012) [C1]
DOI 10.1016/j.ijrmms.2011.11.014
Citations Scopus - 38Web of Science - 23
2012 Krabbenhoft K, Huang J, Vicente Da Silva MJ, Lyamin AV, 'Granular contact dynamics with particle elasticity', Granular Matter, 14 607-613 (2012) [C1]
DOI 10.1007/s10035-012-0360-1
Citations Scopus - 29Web of Science - 26
Co-authors Andrei Lyamin
2011 Huang J, Griffiths DV, Wong S-W, 'Characterizing natural-fracture permeability from mud-loss data', SPE journal, 16 111-114 (2011) [C1]
Citations Scopus - 16Web of Science - 8
2011 Huang J, Griffiths DV, Fenton G, 'Closure to 'Probabilistic Analysis of Coupled Soil Consolidation'', Journal of Geotechnical and Geoenvironmental Engineering, 137 858-860 (2011) [C3]
DOI 10.1061/(ASCE)GT.1943-5606.0000529
2011 Griffiths DV, Huang J, Fenton GA, 'Probabilistic infinite slope analysis', Computers and Geotechnics, 38 577-584 (2011) [C1]
DOI 10.1016/j.compgeo.2011.03.006
Citations Scopus - 96Web of Science - 75
2011 Huang J, Griffiths DV, 'Observations on FORM in a simple geomechanics example', Structural Safety, 33 115-119 (2011) [C1]
DOI 10.1016/j.strusafe.2010.10.001
Citations Scopus - 12Web of Science - 9
2011 Griffiths DV, Huang J, Dewolfe GF, 'Numerical and analytical observations on long and infinite slopes', International Journal for Numerical and Analytical Methods in Geomechanics, 35 569-585 (2011) [C1]
DOI 10.1002/nag.909
Citations Scopus - 27Web of Science - 23
2011 Huang J, Griffiths DV, Wong S-W, 'In situ stress determination from inversion of hydraulic fracturing data', International Journal of Rock Mechanics & Mining Sciences, 48 476-481 (2011) [C1]
DOI 10.1016/j.ijrmms.2010.08.018
Citations Scopus - 14Web of Science - 12
2010 Huang J, Griffiths DV, 'One-dimensional consolidation theories for layered soil and coupled and uncoupled solutions by the finite-element method', Geotechnique, 60 709-713 (2010) [C1]
DOI 10.1680/geot.08.P.038
Citations Scopus - 30Web of Science - 26
2010 Huang J, Griffiths DV, Fenton GA, 'System reliability of slopes by RFEM', Soils and Foundations, 50 343-353 (2010) [C1]
DOI 10.3208/sandf.50.343
Citations Scopus - 94Web of Science - 69
2010 Huang J, Griffiths DV, Fenton GA, 'Probabilistic analysis of coupled soil consolidation', Journal of Geotechnical and Geoenvironmental Engineering, 136 417-430 (2010) [C1]
DOI 10.1061/(ASCE)GT.1943-5606.0000238
Citations Scopus - 58Web of Science - 49
2009 Huang J, Griffiths DV, 'Return mapping algorithms and stress predictors for failure analysis in geomechanics', Journal of Engineering Mechanics, 135 276-284 (2009)
DOI 10.1061/(ASCE)0733-9399(2009)135:4(276
2009 Griffiths DV, Huang J, 'Observations on the extended Matsuoka-Nakai failure criterion', International Journal for Numerical and Analytical Methods in Geomechanics, 33 1889-1905 (2009) [C1]
DOI 10.1002/nag.810
Citations Scopus - 5Web of Science - 4
2009 Huang J, Griffiths D, 'Return mapping algorithms and stress predictors for failure analysis in geomechanics', Journal of Engineering Mechanics, 135 276-284 (2009) [C1]
DOI 10.1061/(ASCE)0733-9399(2009)135:4(276)
Citations Scopus - 22Web of Science - 16
2009 Griffiths DV, Huang J, Fenton GA, 'Influence of spatial variability on slope reliability using 2-D random fields', Journal of Geotechnical and Geoenvironmental Engineering, 135 1367-1378 (2009) [C1]
DOI 10.1061/(ASCE)GT.1943-5606.0000099
Citations Scopus - 186Web of Science - 141
2009 Griffiths DV, Huang J, Schiermeyer RP, 'Elastic stiffness of straight-sided triangular finite elements by analytical and numerical integration', Communications in Numerical Methods in Engineering, 25 247-262 (2009) [C1]
DOI 10.1002/cnm.1124
Citations Scopus - 8Web of Science - 6
2009 Griffiths DV, Huang J, Fenton GA, 'On the reliability of earth slopes in three dimensions', Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 465 3145-3164 (2009) [C1]
DOI 10.1098/rspa.2009.0165
Citations Scopus - 28Web of Science - 22
2008 Huang J, Griffiths D, 'Observations on return mapping algorithms for piecewise linear yield criteria', International Journal of Geomechanics, 8 253-265 (2008) [C1]
DOI 10.1061/(ASCE)1532-3641(2008)8:4(253)
Citations Scopus - 19Web of Science - 11
2008 Huang J, Griffiths DV, 'Observations on return mapping algorithms for piecewise linear yield criteria', International Journal of Geomechanics, 8 253-265 (2008)
DOI 10.1061/(ASCE)1532-3641(2008)8:4(253
2003 Huang JS, Pan YF, Yan HY, 'Static and dynamic analysis of Dachaoshan Gravity Dam with finite element method', Wuhan Daxue Xuebao (Gongxue Ban)/Engineering Journal of Wuhan University, 36 22-26 (2003)

© 2003, Editorial Department of Engineering Journal of Wuhan University. All right reserved. On the basis of new normative principles, criterions and methods such as Design specif... [more]

© 2003, Editorial Department of Engineering Journal of Wuhan University. All right reserved. On the basis of new normative principles, criterions and methods such as Design specification for concrete gravity dams and Specifications for seismic design of hydraulic structures, we calculated the normal use ultimate strength and the carrying capacity ultimate strength of Dachaoshan dam according to the finite element method. The result indicates that the gravity dam is safe and credible; the dam's structure totally reaches the reliability level stated by criterions.

Citations Scopus - 1
2003 Huang JS, Lai GW, Chang XL, 'Comparison between two methods for determining ultimate bearing capacity of gravity dam', Wuhan Daxue Xuebao (Gongxue Ban)/Engineering Journal of Wuhan University, 36 (2003)

© 2003, Editorial Department of Engineering Journal of Wuhan University. All right reserved. Two methods for estimating the ultimate bearing capacity of gravity dam are studied. T... [more]

© 2003, Editorial Department of Engineering Journal of Wuhan University. All right reserved. Two methods for estimating the ultimate bearing capacity of gravity dam are studied. The first method is to see whether or not the yield area across the dam. The second method called energy method is to define the ultimate state of the dam. Aiming at a real project, the example is given. It is found that the second method usually gets the lower result.

2002 Huang JS, 'Nonlinear buckling of composite shells of revolution', JOURNAL OF AEROSPACE ENGINEERING, 15 64-71 (2002) [C1]
DOI 10.1061/(ASCE)0893-1321(2002)15:2(64)
Citations Scopus - 1Web of Science - 1
2002 Huang J, 'Nonlinear buckling of composite shells of revolution', Journal of Aerospace Engineering, 15 64-71 (2002)
DOI 10.1061/(ASCE)0893-1321(2002)15:2(64
2001 Wang Y, Duan YH, Huang JS, Chen TF, 'Temperature control study on lining concrete of conveyance tunnel of permanent shiplock at Three Gorges project', Wuhan Daxue Xuebao (Gongxue Ban)/Engineering Journal of Wuhan University, 34 32 (2001)
Citations Scopus - 2
2000 Huang JS, Zeng GW, 'Finite-element strength and stability analysis and experimental studies of a submarine-launched missile's composite dome', ENGINEERING STRUCTURES, 22 1189-1194 (2000) [C1]
DOI 10.1016/S0141-0296(99)00040-1
Citations Scopus - 3Web of Science - 4
2000 Huang JS, Zeng GW, 'Analysis and calculation of the nonlinear stability of the rotational composite shell', APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 21 209-216 (2000) [C1]
2000 Huang JS, Zeng GW, 'Finite-element analysis and experimental study on the strength and stability of a rotational composite shell', Fuhe Cailiao Xuebao/Acta Materiae Compositae Sinica, 17 88-91 (2000)

The paper presents a finite element model for strength analyses of a rotational composite shell under axial compression and internal pressure. The characteristics of stress distri... [more]

The paper presents a finite element model for strength analyses of a rotational composite shell under axial compression and internal pressure. The characteristics of stress distribution, stress locations and loads of failure are determined according to the model. The model is also developed to calculate the stability of the shell under axial compression, external pressure and combination of the both. Experiments are completed for studying the strength of the shell under axial compression and internal pressure and the stability of the shell under the combination of axial compression and external pressure.

Citations Scopus - 2
1998 Huang J, Wei D, Zeng G, 'The Stability Analysis of Laminated-Composite Dome Structure', Huazhong Ligong Daxue Xuebao/Journal Huazhong (Central China) University of Science and Technology, 26 37-40 (1998)

©, 1998, Journal of Huazhong University of Science and Technology. All right reserved A stability calculation method of laminated-composite dome structure is presented based on th... [more]

©, 1998, Journal of Huazhong University of Science and Technology. All right reserved A stability calculation method of laminated-composite dome structure is presented based on the modified-equivalent cylindrical shell model. The method is used to calculated the stabili ty of missile's dome under axial compression, external pressure and their combination respectively, and some experiments are completed for studying the stability of the dome under combined load. Finally, the relations between the dome's load of failure with characteristic size and laminated form are analyzed and discussed.

DOI 10.13245/j.hust.1998.s1.012
Citations Scopus - 1
Show 86 more journal articles

Review (1 outputs)

Year Citation Altmetrics Link
2012 Li H, Zhou X, Chen C, Huang Y, Bao L, Bao T, et al., 'Preface', Applied Mechanics and Materials (2012)
Co-authors Shigeru Sato, Mark Stewart

Conference (40 outputs)

Year Citation Altmetrics Link
2017 Griffiths DV, Fenton GA, Huang J, Zhang L, 'Preface', Geotechnical Special Publication (2017)
DOI 10.1061/9780784480694.fm
2017 Huang J, Fenton GA, Zhang L, Griffiths DV, 'Preface', Geotechnical Special Publication (2017)
DOI 10.1061/9780784480700.fm
2017 Yang R, Huang J, Griffiths DV, Sheng D, 'Probabilistic Stability Analysis of Slopes by Conditional Random Fields', GEO-RISK 2017: IMPACT OF SPATIAL VARIABILITY, PROBABILISTIC SITE CHARACTERIZATION, AND GEOHAZARDS, Denver, CO (2017) [E1]
Citations Scopus - 1Web of Science - 1
Co-authors Daichao Sheng
2017 Zheng D, Huang J, Li D, 'Obtaining 2-D High-Resolution Cone Tip Resistance Fields', GEO-RISK 2017: Geotechnical Risk Assessment And Management, Denver, Colorado (2017) [E1]
DOI 10.1061/9780784480724.006
2017 Huang J, Fenton GA, Zhang L, Griffiths DV, 'Preface', Geotechnical Special Publication (2017)
DOI 10.1061/9780784480724.fm
2017 Huang J, Fenton GA, Zhang L, Griffiths DV, 'Preface', Geotechnical Special Publication (2017)
DOI 10.1061/9780784480717.fm
2017 Ali A, Lyamin AV, Huang J, Sloan SW, Cassidy MJ, 'Undrained Stability of an Unlined Square Tunnel in Spatially Random Soil', GEO-RISK 2017: IMPACT OF SPATIAL VARIABILITY, PROBABILISTIC SITE CHARACTERIZATION, AND GEOHAZARDS, Denver, CO (2017) [E1]
Co-authors Scott Sloan, Andrei Lyamin
2017 Zhu D, Griffiths DV, Huang J, Fenton GA, 'Probabilistic Design of Slopes in Normally Consolidated Clays', GEO-RISK 2017: RELIABILITY-BASED DESIGN AND CODE DEVELOPMENTS, Denver, CO (2017) [E1]
2017 Kelly R, Sloan S, Pineda J, Huang J, Kouretzis G, Carter J, 'Performance of a trial embankment at the Ballina soft soil Field Testing Facility', Proceedings of the 19th International Conference on Soil Mechanics and Geotechnical Engineering, Seoul 2017, Seoul, Korea (2017) [E1]
Co-authors John Carter, Scott Sloan, Jubert Pineda, Georgios Kouretzis
2016 Pham VN, Turner B, Huang J, Kelly R, 'Experimental study on the durability of soil-cement columns in coastal areas', Proceedings of the 19th Southeast Asian Geotechnical Conference, Subang Jaya, Malaysia (2016)
2016 Ali A, Lyamin AV, Huang J, Sloan SW, Cassidy MJ, 'Effect of Spatial Correlation Length on the Bearing Capacity of an Eccentrically Loaded Strip Footing', Proceedings of the 6th Asian-Pacific Symposium on Structural Reliability and its Applications (APSSRA'6), Shanghai, China (2016) [E1]
Co-authors Andrei Lyamin, Scott Sloan
2016 Huang J, Kelly R, Sloan SW, 'Enhanced data interpretation: combining in-situ test data by Bayesian updating', Proceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, Gold Coast, Queensland (2016) [E1]
Citations Scopus - 1
Co-authors Scott Sloan
2015 Zhu H, Griffiths DV, Huang J, Fenton GA, 'Effect of spatial variability on failure mechanism location in random undrained slopes', Computer Methods and Recent Advances in Geomechanics - Proceedings of the 14th Int. Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014 (2015) [E1]

Since the charts ofTaylor, it has beenwell knownthat the location of the critical failure mechanism in a homogeneous undrained clay slope goes either deep (tangent to a firm base)... [more]

Since the charts ofTaylor, it has beenwell knownthat the location of the critical failure mechanism in a homogeneous undrained clay slope goes either deep (tangent to a firm base) or shallow (through the toe) depending on whether the slope angle is, respectively, less than or greater than about 53°. When slopes are made up of variable soils however, these expectations no longer hold true for all cases. In this paper, the influence of random soil strength and slope angle on the location of the critical failure mechanism and probability of failure is examined using the Random Finite Element Method (RFEM). It is found following Monte-Carlo simulation, that there exists a critical value of slope angle above which it would be unconservative to assume high spatial correlation length and below which it would be conservative to assume high spatial correlation length. For ß>48°, both correlation length and slope angle have no influence on the proportion of toe failures. For slope angle lying between 20° and 40°, slopes that have higher correlation length give lower proportion of toe failures. Research into the critical mechanism location forms part of a broader study of slope failure risk, in which the consequences of failure are assumed to be more serious in a deep failure, because a greater volume of soil is affected. © 2015 Taylor & Francis Group, London.

2015 Li JH, Cassidy MJ, Tian Y, Huang J, Lyamin AV, Uzielli M, 'Comparative study of bearing capacity of buried footings using random limit analysis and random finite element method', Computer Methods and Recent Advances in Geomechanics - Proceedings of the 14th Int. Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014 (2015) [E1]

Bearing capacity and failure mechanism of a buried footing in uniformsoils have been simulated using limit analysis and finite element analysis in the past decades. In realistic c... [more]

Bearing capacity and failure mechanism of a buried footing in uniformsoils have been simulated using limit analysis and finite element analysis in the past decades. In realistic conditions, soil properties always vary spatially. This dramatically affects the failure mechanism of a footing and, in turn, its bearing capacity. This paper illustrates an investigation into the failure mechanism and bearing capacity of a vertically and centrally loaded footing embedded in spatially variable clayey soils using random lower bound limit analysis, random upper bound limit analysis and random finite element analysis. The footing was embedded to 4 times its width. Monte Carlo simulation was performed for 400 realizations of random fields of undrained shear strength. The majority of the bearing capacity factors obtained from the finite element method is bounded by those obtained from the lower bound limit analysis and the upper bound limit analysis, but more close to the upper bound results. A full-flow failure mechanism is observed for the deeply embedded footing in spatially variable soil. The shear path of the footing shows an unsymmetrical pattern, which results from the spatially variable and unsymmetrical random field of soil shear strength. © 2015 Taylor & Francis Group, London.

Co-authors Andrei Lyamin
2015 Huang J, Ali A, Lyamin AV, Sloan SW, Griffiths DV, Cassidy MJ, Li J, 'The influence of spatial variability of soil permeability on the risk of rainfall induced landslides', Computer Methods and Recent Advances in Geomechanics - Proceedings of the 14th Int. Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014 (2015) [E1]

Rainfall induced landslides can vary in depth and deeper the landslide, greater is the damage it causes. This paper investigates, quantitatively, the risk of rainfall induced land... [more]

Rainfall induced landslides can vary in depth and deeper the landslide, greater is the damage it causes. This paper investigates, quantitatively, the risk of rainfall induced landslides by assessing the consequence of each failure. The influence of the spatial variability of the saturated hydraulic conductivity on the risk of landslides is studied. It is shown that a critical spatial correlation length exists at which the risk is a maximum. © 2015 Taylor & Francis Group, London.

Citations Scopus - 1Web of Science - 1
Co-authors Scott Sloan, Andrei Lyamin
2015 Huang J, Kelly R, 'Updating single pile capacity by load tests', IFCEE 2015: Proceedings of the International Foundations Congress and Equipment Expo 2015, San Antonio, TX (2015) [E1]
DOI 10.1061/9780784479087.180
2015 Huang J, Wong SW, 'Upper limit of borehole fluid pressure to prevent near wellbore shear failure', Computer Methods and Recent Advances in Geomechanics - Proceedings of the 14th Int. Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014 (2015) [E1]

In deep drilling operation, borehole collapse due to insufficient drilling fluid pressure and borehole fracturing as a result of excessive drilling fluid pressure are two major mo... [more]

In deep drilling operation, borehole collapse due to insufficient drilling fluid pressure and borehole fracturing as a result of excessive drilling fluid pressure are two major modes of borehole failure. The latter may result in severe loss of drilling fluid into the formation, resulting in potential well control issues with influx of high pressure fluid or gas from adjacent formation layers. To prevent drilling fluid loss, the fluid pressure must not exceed an upper limit, otherwise the borehole will fail in tension or fracture. However, if the fluid pressure is too low, the borehole may collapse or fail in compression. Drilling fluid pressure window is therefore typically set by the upper limit of tensile failure and the lower limit of compressive failure. If the stress state and rock strength require a lower limit which is close to the upper limit, then the drilling fluid pressure design needs to stay within a very narrow window and consequently the feasibility of drilling may be questioned. Based on rigorous mechanics principles, this paper shows that it is possible to experience shear failure due to increasing drilling fluid pressure even before it reaches the upper limit of tensile failure. This may mean a more restricting drilling fluid pressure window in drilling weaker rocks. Implications of near wellbore shear failure are also briefly discussed in the context of water injection design which relies on injection at high pressure. © 2015 Taylor & Francis Group, London.

2015 Huang J, Kelly R, Sloan S, 'Updating system reliability of pile group by load tests', ANZ2015: The Changing Face of the Earth, Wellington, New Zealand (2015) [E1]
Co-authors Scott Sloan
2015 Huang J, Griffiths V, Fenton G, 'Probabilistic Slope Stability Analysis Using RFEM with Non-Stationary Random Fields', Rotterdam, The Netherlands (2015) [E1]
DOI 10.3233/978-1-61499-580-7-704
Citations Web of Science - 6
2015 Meng J, Huang J, Sloan S, 'Granular Contact Dynamics for the Probabilistic Stability Analysis of Slopes', Geotechnical Risk and Safety V, Rotterdam, The Netherlands (2015) [E1]
DOI 10.3233/978-1-61499-580-7-699
Co-authors Scott Sloan
2014 Huang J, Wong SW, 'New inversion method to determine in-situ stress from borehole induced fractures', Society of Petroleum Engineers - International Petroleum Technology Conference 2014, IPTC 2014 - Innovation and Collaboration: Keys to Affordable Energy (2014)

Copyright 2014, International Petroleum Technology Conference The drilling induced tensile fractures can be observed from borehole image logs but they must be differentiated from ... [more]

Copyright 2014, International Petroleum Technology Conference The drilling induced tensile fractures can be observed from borehole image logs but they must be differentiated from natural fractures. This paper focuses on the understanding of hydraulically or artificially induced tensile fractures while drilling. We present an inversion method using rigorous principles of mechanics, to determine the in-situ formation stress state from observed induced tensile fractures. Contrary to common practices where only vertical or near vertical wells can be analysed, the present method is applicable to wellbores of all orientations. For a geological rock formation and area where the in-situ stress regime can be assumed to be similar, all the relevant borehole image logs can be included to provide information to yield the most probable subsurface in-situ stress state. The proposed inversion method directly solves for the in-situ stress states given any single set of observed tensile fracture location and orientation. It provides not only an estimate for the minimum horizontal stress magnitude and direction, but also the maximum horizontal stress magnitude which is usually very difficult to pin down. The resultant equations are non-linear and a simple numerical scheme is adopted for the solution. Although published data on borehole images of fractures with corresponding in-situ stress information are scarce, two observed field data from published papers are chosen for comparison.

2014 Huang J, Griffiths DV, Lyamin AV, Krabbenhoft K, Sloan SW, 'Discretization errors of random fields in finite element analysis', Applied Mechanics and Materials (2014) [E1]

The mechanical properties of natural materials such as rocks and soils vary spatially. This randomness is usually modelled by random field theory so that the material properties c... [more]

The mechanical properties of natural materials such as rocks and soils vary spatially. This randomness is usually modelled by random field theory so that the material properties can be specified at each point in space. When these point-wise material properties are mapped onto a finite element mesh, discretization errors are inevitable. In this study, the discretization errors are studied and suggestions for element sizes in relation with spatial correlation lengths are given. © (2014) Trans Tech Publications, Switzerland.

DOI 10.4028/www.scientific.net/AMM.553.405
Citations Scopus - 2
Co-authors Scott Sloan, Andrei Lyamin
2014 Griffiths DV, Paiboon J, Huang J, Fenton GA, 'Homogenization of geomaterials using the Random Finite Element Method', Geotechnical Safety and Risk IV - Proceedings of the 4th International Symposium on Geotechnical Safety and Risk, ISGSR 2013 (2014) [E1]

The homogenized stiffness of geomaterials that are highly variable at the micro-scale has long been of interest to geotechnical engineers. The purpose of this study is to investig... [more]

The homogenized stiffness of geomaterials that are highly variable at the micro-scale has long been of interest to geotechnical engineers. The purpose of this study is to investigate the influence of porosity and void size on the homogenized or effective properties of geomaterials. A Random Finite Element Method (RFEM) has been developed enabling the generation of spatially random voids of given porosity and size within a block of geomaterial. Following Monte-Carlo simulations, the mean and standard deviation of the effective property can be estimated leading to a probabilistic interpretation involving deformations. The probabilistic approach represents a rational methodology for guiding engineers in the risk management process. The influence of block size and the Representative Volume Elements (RVE) are discussed, in addition to the influence of anisotropy on the effective Young's modulus. © 2014 Taylor & Francis Group, London.

Citations Scopus - 2
2014 Huang J, Kelly R, Sloan SW, 'Probabilistic analysis of dry soil mix columns', Geotechnical Safety and Risk IV - Proceedings of the 4th International Symposium on Geotechnical Safety and Risk, ISGSR 2013 (2014) [E1]

Analytical probabilistic analysis and Monte Carlo simulation based on elasto-plastic Finite Element Method (FEM) on dry soil mix columns are presented. It is shown that analytical... [more]

Analytical probabilistic analysis and Monte Carlo simulation based on elasto-plastic Finite Element Method (FEM) on dry soil mix columns are presented. It is shown that analytical method is over conservative because it ignores the supports from adjacent columns. Probabilistic FEM analysis can provide more accurate predictions, and thus lead to more economic designs. Probabilistic FEM analyses show that the effects of adjacent columns can be destructive when applied load is close to the strength. The reliability of the system of columns is analyzed by setting residual strength to zero. Results show that close spacing has more safety margin than loose spacing. © 2014 Taylor & Francis Group, London.

Citations Scopus - 1
Co-authors Scott Sloan
2013 Huang J, Griffiths DV, Fenton GA, 'A benchmark slope for system reliability analysis', Geotechnical Special Publication, San Diego, CA. (2013) [E1]
DOI 10.1061/9780784412787
Citations Scopus - 1
2013 Huang J, Lyamin AV, Griffiths DV, Sloan SW, Krabbenhoft K, Fenton GA, 'Undrained bearing capacity of spatially random clays by finite elements and limit analysis', Proceedings of the 18th International Conference on Soil Mechanics and Geotechnical Engineering, Paris, France (2013) [E1]
Citations Scopus - 3Web of Science - 1
Co-authors Scott Sloan, Andrei Lyamin
2012 Griffiths DV, Huang J, Fenton GA, 'Modelling of stability and risk of geotechnical systems in highly variable soils', International Conference on Advances in Geotechnical Engineering, Perth, Australia (2012) [E2]
2012 Griffiths DV, Huang J, Fenton GA, 'Risk assessment in geotechnical engineering: Stability analysis of highly variable soils', Geotechnical Engineering State of the Art and Practice: Keynote Lectures from GeoCongress 2012, Oakland, CA (2012) [E1]
Citations Scopus - 7
2012 Huang J, Krabbenhoft K, Vicente Da Silva MJ, Lyamin AV, 'Simulating granular column collapse by non-smooth contact dynamics', Computational Mechanics 2012, Sao Paulo (2012) [E3]
Co-authors Andrei Lyamin
2012 Huang J, Krabbenhoft K, Lyamin AV, 'Influence of random microstructures on the elastic properties of cement paste', Proceedings of the 5th Asian-Pacific Symposium on Structural Reliability and its Applications: Sustainable Civil Infrastructures - Hazards, Risk, Uncertainty, Singapore (2012) [E1]
Co-authors Andrei Lyamin
2011 Griffiths DV, Paiboon J, Huang J, Fenton GA, 'Numerical analysis of the influence of porosity and void size on soil stiffness using random fields', Computer Methods for Geomechanics: Frontiers and New Applications, Melbourne, VIC (2011) [E1]
Citations Scopus - 1
2011 Dewolfe GF, Griffiths DV, Huang J, 'Probabilistic and deterministic slope stability analysis by random finite elements', Geotechnical Practice Publication (2011)

Program PES (Probabilistic Engineered Slopes) provides a repeatable methodology allowing the user to perform a slope stability analysis on a one-sided and two-sided sloping struct... [more]

Program PES (Probabilistic Engineered Slopes) provides a repeatable methodology allowing the user to perform a slope stability analysis on a one-sided and two-sided sloping structure using a deterministic or probabilistic approach. Program PES, in contrast with other deterministic or probabilistic classical slope stability methodologies, is cable of seeking out the critical failure surface without assigning a pre-defined failure surface geometry. The probabilistic approach of program PES applies the Random Finite Element Method (RFEM) by Griffiths and Fenton (1993) taking into account the soil spatial variability and allowing the use of different random fields to characterize the spatial variation of any material type. The methodology is compared against the probabilistic approach proposed by the program SLOPE/W version 7.14 (Geostudio Group, 2007), and demonstrates its potential for predicting probability of failure (pf) in non-homogeneous soil structures characterized by phreatic conditions and potential post-earthquake liquefiable conditions. The pf results obtained by program PES have proved that underestimating the influence that the soil material variability has on the computation of pf will lead to lower results of probability and underestimate of the risk of slope instability. Program PES capabilities could be used by the engineering practice to prioritize intervention activities within a risk context. © 2011 American Society of Civil Engineers.

DOI 10.1061/41144(391)9
Citations Scopus - 2
2011 Griffiths DV, Dotson D, Huang J, 'Probabilistic finite element analysis of a raft foundation supported by drilled shafts in karst', Geotechnical Special Publication (2011)

The paper describes probabilistic analyses performed as part of a large expansion to an existing cement manufacturing plant. A raft supported by drilled shafts was proposed for th... [more]

The paper describes probabilistic analyses performed as part of a large expansion to an existing cement manufacturing plant. A raft supported by drilled shafts was proposed for the project, but during installation, significant slurry and concrete loss began to occur indicating numerous voids existed in what was previously considered competent limestone bedrock. Since the possibility of voids, especially at the shaft tip, could serious reduce the shaft capacity, a probabilistic Monte Carlo 3D finite element simulation was proposed for the most heavily loaded raft foundation. The purpose of the simulation was to determine the probability of adverse performance, giving guidance as to whether any remedial measures (e.g., additional structural elements or thickened raft) might be required. © 2011 ASCE.

DOI 10.1061/41183(418)15
Citations Scopus - 3
2010 Griffiths DV, Huang J, Fenton GA, 'Comparison of slope reliability methods of analysis', Geotechnical Special Publication (2010)

Reliability tools have been applied to slope stability analysis more than any other geotechnical application on account of the readily understood concept of "probability of f... [more]

Reliability tools have been applied to slope stability analysis more than any other geotechnical application on account of the readily understood concept of "probability of failure" as an alternative or complement to the traditional "factor of safety". Probabilistic slope stability methods in the literature are reviewed. Particular attention is focused on the ability of the methods to correctly model spatially varying soil properties. A benchmark slope is reanalyzed and conclusions reached about their suitability for meaningful and conservative prediction of slope reliability. © 2010 ASCE.

DOI 10.1061/41095(365)198
Citations Scopus - 4
2010 Dewolfe GF, Griffiths DV, Huang J, 'Probabilistic slope stability analysis of embankment dams using random finite elements (RFEM)', Association of State Dam Safety Officials Annual Conference 2010, Dam Safety 2010 (2010)

The computer program Probabilistic Engineered Slopes (PES), coded in FORTRAN.95, provides a repeatable methodology, which allows the user to perform a slope stability analysis on ... [more]

The computer program Probabilistic Engineered Slopes (PES), coded in FORTRAN.95, provides a repeatable methodology, which allows the user to perform a slope stability analysis on a one- and two-sided sloping structure, using a deterministic or probabilistic approach. The program PES, in contrast with other deterministic or probabilistic classical slope stability methodologies, is capable of seeking out the critical failure surface without assigning a predefined failure surface geometry. The probabilistic approach of PES applies the Random Finite Element Method (RFEM) by Griffiths and Fenton (1993) [1], taking into account the soil spatial variability and allowing the use of different random fields to characterize the spatial variation of any material type. The methodology is compared against the probabilistic approach proposed with the program SLOPE/W, version 7.14 (Geostudio Group, 2007) [2], and demonstrates its potential for predicting probability of failure (pf) in nonhomogeneous soil structures for given phreatic conditions and potential postearthquake liquefiable conditions. The pf results obtained by program PES have proved that underestimating the influence that the soil material variability has on the computation of pf will lead to unconservative results of probability and underestimate of the risk of slope instability. The program PES has capabilities that could be used by the engineering practice to prioritize intervention activities within a risk context, test the stability conditions of dams during modification phases, and help estimate the probability of failure in cases involving postearthquake liquefaction.

2010 De Wolfe GF, Griffiths DV, Huang J, 'Probabilistic slope stability analysis of embankment dams using Random Finite Elements (RFEM)', Association of State Dam Safety Officials - Dam Safety 2010 Proceedings (2010)

The computer program Probabilistic Engineered Slopes (PES), coded in FORTRAN.95, provides a repeatable methodology, which allows the user to perform a slope stability analysis on ... [more]

The computer program Probabilistic Engineered Slopes (PES), coded in FORTRAN.95, provides a repeatable methodology, which allows the user to perform a slope stability analysis on a one- and two-sided sloping structure, using a deterministic or probabilistic approach. The program PES, in contrast with other deterministic or probabilistic classical slope stability methodologies, is capable of seeking out the critical failure surface without assigning a predefined failure surface geometry. The probabilistic approach of PES applies the Random Finite Element Method (RFEM) by Griffiths and Fenton (1993) [1], taking into account the soil spatial variability and allowing the use of different random fields to characterize the spatial variation of any material type. The methodology is compared against the probabilistic approach proposed with the program SLOPE/W, version 7.14 (Geostudio Group, 2007) [2], and demonstrates its potential for predicting probability of failure (pf) in nonhomogeneous soil structures for given phreatic conditions and potential postearthquake liquefiable conditions. The pfresults obtained by program PES have proved that underestimating the influence that the soil material variability has on the computation of pfwill lead to unconservative results of probability and underestimate of the risk of slope instability. The program PES has capabilities that could be used by the engineering practice to prioritize intervention activities within a risk context, test the stability conditions of dams during modification phases, and help estimate the probability of failure in cases involving postearthquake liquefaction.

2009 Griffiths DV, Huang J, Fenton GA, 'Three dimensional probabilistic slope stability analysis by RFEM', Proceedings of the 17th International Conference on Soil Mechanics and Geotechnical Engineering: The Academia and Practice of Geotechnical Engineering (2009)

The paper investigates the probability of failure of 2-d and 3-d slopes using the Random Finite Element Method (RFEM). RFEM combines elastoplasticity with random field theory in a... [more]

The paper investigates the probability of failure of 2-d and 3-d slopes using the Random Finite Element Method (RFEM). RFEM combines elastoplasticity with random field theory in a Monte-Carlo framework. It is found that 2-d probabilistic analysis, by implicitly assuming perfect spatial correlation in the third direction, may underestimate the probability of failure of slopes. © 2009 IOS Press.

DOI 10.3233/978-1-60750-031-5-1538
2008 Huang J, Griffiths DV, Fenton GA, 'One-dimensional probabilistic uncoupled consolidation analysis by the random finite element method', Geotechnical Special Publication (2008)

The influence of a spatially random coefficient of consolidation on one-dimensional uncoupled consolidation has been studied using the Random Finite Element Method. The results of... [more]

The influence of a spatially random coefficient of consolidation on one-dimensional uncoupled consolidation has been studied using the Random Finite Element Method. The results of parametric studies are presented, which describe the effect of the standard deviation and correlation length of the coefficient of consolidation on output statistics relating to the overall "effective" coefficient of consolidation. Three "effective" coefficient of consolidation are considered, namely harmonic mean, the log time method and the root time method. Copyright ASCE 2008.

DOI 10.1061/40971(310)17
Citations Scopus - 2
2008 Griffiths DV, DeWolfe GF, Huang J, Fenton GA, 'Analysis of infinite slopes with spatially random shear strength', Geotechnical Special Publication (2008)

The study investigates the role of spatially random soil on the stability of infinite slopes with application to landslides and other geohazards. The influence of the shear streng... [more]

The study investigates the role of spatially random soil on the stability of infinite slopes with application to landslides and other geohazards. The influence of the shear strength mean, standard deviation and spatial correlation length on the probability of failure is thoroughly investigated through parametric studies. The results show that the traditional "first order second moment" approach to this problem is inherently unconservative, due to its inability to allow the failure mechanism to "seek out" the critical depth below ground surface, which is frequently not at the base of the soil layer. Copyright ASCE 2008.

DOI 10.1061/40971(310)15
Citations Scopus - 3
2008 Griffiths DV, Huang J, Fenton GA, 'Probabilistic stability analysis of shallow landslides using random fields', 12th International Conference on Computer Methods and Advances in Geomechanics 2008 (2008)

The paper presents probabilistic studies that demonstrate the influence of spatially random soil properties on the stability of shallow landslides using random fields Results indi... [more]

The paper presents probabilistic studies that demonstrate the influence of spatially random soil properties on the stability of shallow landslides using random fields Results indicate that traditional "first order" methods are inherently unconservative when applied to limit analysis problems unless they allow the failure mechanism to "seek out" the most critical location.

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Grants and Funding

Summary

Number of grants 6
Total funding $540,816

Click on a grant title below to expand the full details for that specific grant.


20181 grants / $400,901

Quantitative Risk Assessment of Unsaturated Soil Slopes$400,901

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Daichao Sheng, Associate Professor Jinsong Huang, Prof DV Griffiths
Scheme Discovery Projects
Role Investigator
Funding Start 2018
Funding Finish 2020
GNo G1700303
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

20171 grants / $120,000

Mud Pumping in Heavy Haul Railroads - Assessment and Control$120,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Emeritus Professor John Carter, Associate Professor Jinsong Huang, Professor Buddhima Indraratna, Associate Professor Rujikiatkamjorn Cholachat, Mr Nagamuttu Narendranathan, Doctor Richard Kelly, Dr Laricar Dominic Trani
Scheme Linkage Projects
Role Lead
Funding Start 2017
Funding Finish 2019
GNo G1700986
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

20161 grants / $9,375

2016 International Visitor from Colorado School of Mines, Golden, USA $9,375

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Associate Professor Jinsong Huang, Prof DV Griffiths
Scheme International Research Visiting Fellowship
Role Lead
Funding Start 2016
Funding Finish 2016
GNo G1501016
Type Of Funding Internal
Category INTE
UON Y

20152 grants / $9,040

Risk and opportunity management for geotechnical elements of projects based on Bayesian statistical methods$7,540

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Associate Professor Jinsong Huang
Scheme Linkage Pilot Research Grant
Role Lead
Funding Start 2015
Funding Finish 2015
GNo G1501179
Type Of Funding Internal
Category INTE
UON Y

Fifth International Symposium on Geotechnical Safety and Risk, Rotterdam, The Netherland, 13-16 October, 2015$1,500

Funding body: University of Newcastle - Faculty of Engineering & Built Environment

Funding body University of Newcastle - Faculty of Engineering & Built Environment
Project Team Associate Professor Jinsong Huang
Scheme Travel Grant
Role Lead
Funding Start 2015
Funding Finish 2015
GNo G1500972
Type Of Funding Internal
Category INTE
UON Y

20141 grants / $1,500

IACMAG 14th, Kyoto Japan, 22-25 September 2014$1,500

Funding body: University of Newcastle - Faculty of Engineering & Built Environment

Funding body University of Newcastle - Faculty of Engineering & Built Environment
Project Team Associate Professor Jinsong Huang
Scheme Travel Grant
Role Lead
Funding Start 2014
Funding Finish 2014
GNo G1400085
Type Of Funding Internal
Category INTE
UON Y
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Research Supervision

Number of supervisions

Completed3
Current7

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2018 PhD Probabilistic Analysis of Mud Pumping in Heavy Haul Railroads PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Principal Supervisor
2017 PhD Resolving the Scale Effect Conundrum - A Stochastic Approach to the Prediction of Shear Strength of Large Scale Discontinuities PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2017 PhD Particle Finite Element Simulation of Landslides PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2016 PhD Computational Modelling of Hydraulic Fracture PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2015 PhD Experimental and theoretical investigation of chemo-mechanical interaction of hard soil-soft rock PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2015 PhD Reliability analysis of slopes based on site investigation data PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Principal Supervisor
2014 PhD Bearing Capacity of Strip Footings on Layered Soils and Design of Working Platforms for Tracked Plant PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2017 PhD Application of Stochastic Limit Analysis to Geotechnical Stability Problems PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2017 PhD Mathematical Programming-Based Discrete Element Method in Geomechanics PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Principal Supervisor
2016 Masters Durability of Soil-Cement Columns in Coastal Areas M Philosophy (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
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Associate Professor Jinsong Huang

Position

Associate Professor
Centre for Geotechnical and Materials Modelling
School of Engineering
Faculty of Engineering and Built Environment

Contact Details

Email jinsong.huang@newcastle.edu.au
Phone (02) 4921 5118
Fax (02) 4921 6946

Office

Room EA.212
Building Engineering Building EA
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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