Profile Image

Dr Jinsong Huang

Research Academic

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. Since 2010, he has worked as a Research Academic 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. 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 34 journal and 23 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 11 in Scopus, where he now attracts more than 100 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
Research Academic 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
civl4830 STRESS AND FINITE ELEMENT ANAL (S2 2015 CALLAGHAN)
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Lecturer 21/07/2014 - 11/11/2015
CIVL4660 PROJECT S2 (S2 2015 CALLAGHAN)
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Supervisor 22/07/2015 - 4/12/2015
Edit

Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (32 outputs)

Year Citation Altmetrics Link
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 determ... [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 - 1
Co-authors Scott Sloan
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 - 9Web of Science - 3
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 - 4Web of Science - 1
Co-authors Scott Sloan, Andrei Lyamin
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
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 - 5Web of Science - 2
Co-authors Andrei Lyamin, Kristian Krabbenhoft
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 - 1
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 - 6Web of Science - 2
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 - 10Web of Science - 6
Co-authors Kristian Krabbenhoft
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 - 20Web of Science - 7
Co-authors Andrei Lyamin, Scott Sloan, Kristian Krabbenhoft
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 - 1Web of Science - 1
Co-authors Chao Yang, Daichao Sheng, John Carter
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 - 10Web of Science - 5
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]
Citations Scopus - 15Web of Science - 9
Co-authors Andrei Lyamin, Kristian Krabbenhoft
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]
Citations Scopus - 15Web of Science - 4
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 - 11Web of Science - 10
Co-authors Kristian Krabbenhoft, 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 - 10Web of Science - 5
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 - 51Web of Science - 24
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 - 8Web of Science - 4
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 - 16Web of Science - 11
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]
Citations Scopus - 10Web of Science - 4
2010 Huang J, Griffiths D, 'One-dimensional consolidation theories for layered soil and coupled and uncoupled solutions by the finite-element method', Geotechnique: international journal of soil mechanics, 60 709-713 (2010) [C1]
DOI 10.1680/geot.08.P.038
Citations Scopus - 16Web of Science - 8
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 - 58Web of Science - 32
2010 Huang J, Griffiths D, Fenton G, '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 - 39Web of Science - 23
2009 Griffiths D, 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 - 4Web of Science - 3
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 - 13Web of Science - 7
2009 Griffiths D, Huang J, Fenton G, '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 - 101Web of Science - 53
2009 Griffiths D, Huang J, Schiermeyer R, 'Elastic stiffness of straight-sided triangular finite elements by analytical and numerical integration', International Journal for Numerical Methods in Biomedical Engineering, 25 247-262 (2009) [C1]
DOI 10.1002/cnm.1124
Citations Scopus - 4Web of Science - 2
2009 Griffiths D, Huang J, Fenton G, 'On the reliability of earth slopes in three dimensions', Proceedings of the Royal Society of London: Mathematical Physical and Engineering Sciences, 465 3145-3164 (2009) [C1]
DOI 10.1098/rspa.2009.0165
Citations Scopus - 15Web of Science - 7
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 - 13Web of Science - 6
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 Web of Science - 1
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 Web of Science - 3
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]
Show 29 more journal articles

Conference (13 outputs)

Year Citation Altmetrics Link
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.

Co-authors Andrei Lyamin, Scott Sloan
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 - 1
Co-authors Andrei Lyamin, Scott Sloan, Kristian Krabbenhoft
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.

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.

Co-authors Scott Sloan
2013 Huang J, Griffiths DV, Fenton GA, 'A benchmark slope for system reliability analysis', Geotechnical Special Publication (2013) [E1]
DOI 10.1061/9780784412787
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 (2013) [E1]
Co-authors Kristian Krabbenhoft, Andrei Lyamin, Scott Sloan
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 (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 (2012) [E1]
Citations Scopus - 1
2012 Huang J, Krabbenhoft K, Vicente Da Silva MJ, Lyamin AV, 'Simulating granular column collapse by non-smooth contact dynamics', Computational Mechanics 2012 (2012) [E3]
Co-authors Kristian Krabbenhoft, 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 (2012) [E1]
Co-authors Kristian Krabbenhoft, 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 (2011) [E1]
Show 10 more conferences
Edit

Grants and Funding

Summary

Number of grants 5
Total funding $20,380

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


20161 grants / $8,620

2016 International Visitor from Colorado School of Mines, Golden, USA $8,620

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Doctor Jinsong Huang, Professor D 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 / $9,060

Risk and opportunity management for geotechnical elements of projects based on Bayesian statistical methods$7,560

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Doctor 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 Doctor 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 Doctor Jinsong Huang
Scheme Travel Grant
Role Lead
Funding Start 2014
Funding Finish 2014
GNo G1400085
Type Of Funding Internal
Category INTE
UON Y

20131 grants / $1,200

GEO-Congress 2012, San Diego, California, USA, 3 - 6 March 2013$1,200

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

Funding body University of Newcastle - Faculty of Engineering & Built Environment
Project Team Doctor Jinsong Huang
Scheme Travel Grant
Role Lead
Funding Start 2013
Funding Finish 2013
GNo G1201027
Type Of Funding Internal
Category INTE
UON Y
Edit

Research Supervision

Number of supervisions

Completed0
Current5

Total current UON EFTSL

Masters0.4
PhD1.6

Current Supervision

Commenced Level of Study Research Title / Program / Supervisor Type
2015 PhD Experimental study on the mechanical performance of cement-mixed soil column under long term seepage-brine corrosion coupling environment
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Co-Supervisor
2015 PhD Probabilistic Stability Analyses of Rock Slopes
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2014 PhD Contact Dynamics for Jointed Rock Masses
PhD (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Principal Supervisor
2014 Masters The Durability of Soil-Cement Columns in Coastal Areas
M Philosophy (Civil Eng), Faculty of Engineering and Built Environment, The University of Newcastle
Co-Supervisor
2012 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
Edit

Dr Jinsong Huang

Position

Research Academic
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 EA212
Building Engineering Building EA
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
Edit