2021 |
van Ngoc P, Turner B, Huang J, Kelly R, 'The durability of soil-cement columns in high sulphate environments', Geotechnical Engineering, 51 139-145 (2021) [C1]
Soil-cement column is a geotechnical solution used for ground improvement in coastal areas. However, after long periods of exposure, the strength of these columns may decrease to ... [more]
Soil-cement column is a geotechnical solution used for ground improvement in coastal areas. However, after long periods of exposure, the strength of these columns may decrease to below their designed safe bearing capacity, ultimately resulting in failure. In this paper, the effects of high sulphate concentrations (100%, 200%, 500% and 1000% that of seawater) on the durability of soil-cement samples were examined. In addition, the simple simulation model was applied to predict the deterioration depth and long-term strength of the soil-cement columns. The results show that the deterioration is more pronounced and occurs deeper in the presence of high sulphate concentrations. For instance, the strength of a 0.5 m diameter column exposed to 200% seawater will fall below the minimum design strength after 75 years. For higher sulphate environments (5 to 10 times that of normal seawater) the same column would never reach the minimum design strength requirement. Consequently, this has significant implications on soil-cement column when used to stabilise soils in high sulphate environments.
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2021 |
Huang F, Ye Z, Jiang SH, Huang J, Chang Z, Chen J, 'Uncertainty study of landslide susceptibility prediction considering the different attribute interval numbers of environmental factors and different data-based models', Catena, 202 (2021)
This paper aims to explore the influences of different attribute interval numbers (AINs) in the frequency ratio (FR) analysis of continuous environmental factors and the influence... [more]
This paper aims to explore the influences of different attribute interval numbers (AINs) in the frequency ratio (FR) analysis of continuous environmental factors and the influences of different data-based models on the uncertainties of landslide susceptibility prediction (LSP). Taking Ningdu County of China as study area, 446 landslides and nine environmental factors are first acquired. Then the FR values of environmental factors under 6 different AINs (4, 6, 8, 12, 16 and 20) and 6 different data-based models (FR model, grey relational degree (GRD), logistic regression (LR), multilayer perceptron (MLP), C5.0 decision tree (C5.0 DT) and random forest (RF)) are set to 36 different conditions. Finally, the LSP results with uncertainties under all conditions are discussed. Results show that: 1) For a certain model, the LSP accuracy gradually increases with the AINs increasing from 4 to 8, and then the increase rate decreases until the accuracy is stable with the AINs increasing from 8 to 20; 2) For a certain AIN, the LSP accuracy of RF is higher than that of C5.0 DT, followed by the MLP, LR, FR and GRD; 3) The LSP accuracy is highest under an AIN of 20 and RF and is satisfied under an AIN of 8 and RF, while is the lowest under an AIN of 4 and GRD; 4) The landslide susceptibility indexes (LSIs) under AINs of 4, 6 and 12 are significantly different from the other AINs, and the LSIs calculated by the C5.0 DT and RF are significantly different compared to the other models; 5) The mean values and standard deviations of LSIs calculated by the MLP, C5.0 DT and RF models are relatively smaller and larger, respectively, than those of the other models, indicating that the LSIs calculated by these models are more consistent with the actual landslide distribution features.
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2021 |
Indraratna B, Phan NM, Nguyen TT, Huang J, 'Simulating Subgrade Soil Fluidization Using LBM-DEM Coupling', International Journal of Geomechanics, 21 (2021)
The loss of effective stress due to increasing excess pore pressure that results in the upward migration of soil particles, that is, subgrade fluidization and mud pumping, has bee... [more]
The loss of effective stress due to increasing excess pore pressure that results in the upward migration of soil particles, that is, subgrade fluidization and mud pumping, has been a critical issue for railways over many years. Traditional methods such as experimental and analytical approaches can capture macroscopic quantities such as the hydraulic conductivity and critical hydraulic gradient, but they have many limitations when microscopic and localized behavior must be captured. This paper, therefore, presents a novel numerical approach where the microscopic properties of fluid and particles can be better captured when the soil is subjected to an increasing hydraulic gradient. While particle behavior is simulated using the discrete element method (DEM), the fluid dynamics can be described in greater detail using the lattice Boltzmann method (LBM). The mutual LBM-DEM interaction is carried out, so the particle and fluid variables are constantly updated. To validate this numerical method, laboratory testing on a selected subgrade soil is conducted. The results show that the numerical method can reasonably predict the coupled hydraulic and soil fluidization aspects, in relation to the experimental data. Microscopic properties such as the interstitial fluid flowing through the porous spaces of the soil are also captured well by the proposed fluid-particle coupling approach.
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2021 |
Chang Z, Huang F, Huang J, Jiang SH, Zhou C, Zhu L, 'Experimental study of the failure mode and mechanism of loess fill slopes induced by rainfall', Engineering Geology, 280 (2021)
Loess fill slopes are vulnerable to heavy rainfall because of water sensitivity and collapsibility of loess. Studies on the failure mode and mechanism of loess fill slopes are lim... [more]
Loess fill slopes are vulnerable to heavy rainfall because of water sensitivity and collapsibility of loess. Studies on the failure mode and mechanism of loess fill slopes are limited and incomplete. In this study, a laboratory flume test is carried out to simulate the failure mode of loess fill slope by monitoring and analyzing its soil hydrological and mechanical parameters including volumetric water content, pore water pressure and horizontal earth pressure. The results show that under continuous rainfall, loess fill slope fails in a backward retrogressive failure mode including gully erosion, partial failure, slope toe failure, central slope failure and top slope failure stages. The failure mechanism of each failure stage has been explained based on the variation of slope hydrological and mechanical conditions with the rainwater infiltration. The evolution processes of the fissures and its effects on the slope failure have been investigated. It is revealed that fissures play an important role in failing the slope by generating preferential flow. Finally, some engineering measures are recommended for the prevention of loess fill slope failure.
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2021 |
Kelly R, Huang J, Poulos H, Stewart MG, 'Geotechnical and Structural stochastic analysis of piled solar farm foundations', Computers and Geotechnics, 132 (2021) [C1]
Development of large scale solar farms supported by large numbers of short piles has created new challenges for engineers to address. Solar arrays are highly flexible structures a... [more]
Development of large scale solar farms supported by large numbers of short piles has created new challenges for engineers to address. Solar arrays are highly flexible structures and the piles can be designed to move to enable more cost effective design. The structural reliability of the above-ground pile can be assessed and probabilities of failure for different section sizes calculated. Economic analysis incorporating capital cost and whole-of-life maintenance cost can be performed to work out whether adopting smaller section sizes provide the best cost outcome. Assessment of pile movements using Monte-Carlo calculations, unsaturated soil mechanics and updating material parameters with suction have been performed. The results show that soil movements are typically larger than pile movements and that soil can slip past the pile with no pile movement when the limiting conditions occur. The results also highlight that the largest soil and pile movements occur infrequently as a result of extreme wetting or drying conditions. Structural reliability analyses showed that correlating wind speed and direction results in a lower probability of failure than if wind load is considered to be uncorrelated with wind direction. The outcomes of the assessment were sensitive to the adopted probabilistic model for pile durability. The main limitation of the analyses is that there is limited information in the literature relating to the types of probability distributions and their input parameters. This adds uncertainty to the stochastic analysis.
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2020 |
Jiang SH, Feng ZW, Liu X, Jiang QH, Huang JS, Zhou CB, 'Inference of probability distributions of geotechnical parameters using adaptive Bayesian updating approach', Yantu Lixue/Rock and Soil Mechanics, 41 325-335 (2020)
Accurate inference of the probability distributions of geotechnical parameters is a crucial step for reliability analysis and risk assessment in geotechnical engineering. At prese... [more]
Accurate inference of the probability distributions of geotechnical parameters is a crucial step for reliability analysis and risk assessment in geotechnical engineering. At present, the probability distributions of geotechnical parameters are mainly inferred based on in-situ and/or laboratory test data. This paper aims to propose an adaptive Bayesian updating approach for the probability distribution inference of geotechnical parameters, in which a quantitative termination strategy for subset simulation is presented. Moreover, a framework for the inference and reliability analysis of the probability distributions of geotechnical parameters is constructed. The effectiveness of the proposed approach is verified by taking the landslide on No. 3 Freeway in Taiwan and a saturated clay slope as examples. Finally, the influence of the number of samples in each subset simulation level on the inference of probability distributions is addressed in this paper. The results indicate that, in comparison with the maximum likelihood and Markov chain Monte Carlo methods, the proposed approach is more efficient in calculation, simpler in programming, and can provide an effective way to solve the problem of probability distribution inference of geotechnical parameters at low acceptance probability levels. The number of random samples in each subset simulation level has certain influence on probability distribution inference. As the number of samples in each level increases, the posterior statistics of geotechnical parameters and threshold of subset simulation gradually converge. In addition, the rationality of the established quantitative termination strategy for subset simulation can be verified according to the variation of complementary cumulative distribution function with the subset simulation threshold.
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2020 |
Li C, Jiang S-H, Li J, Huang J, 'Bayesian Approach for Sequential Probabilistic Back Analysis of Uncertain Geomechanical Parameters and Reliability Updating of Tunneling-Induced Ground Settlements', ADVANCES IN CIVIL ENGINEERING, 2020 (2020)
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2020 |
Jiang SH, Zhu MM, Zeng SH, Huang JS, Yang ZG, Zhou CB, 'Stochastic back analysis of material parameters of tailings dams using Bayesian updating approach', Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, 42 77-82 (2020)
To obtain accurate values of the material parameters of tailings dams based on the limited data, a stochastic back analysis approach considering the uncertainties of the material ... [more]
To obtain accurate values of the material parameters of tailings dams based on the limited data, a stochastic back analysis approach considering the uncertainties of the material parameters of tailings dams is proposed under the framework of Bayesian updating and finite element analysis. To improve the computational efficiency of back analysis, a polynomial chaos expansion is adopted to replace the implicit function between the displacements of tailing dams at the representative monitoring points and uncertain input parameters. A real tailings dam is taken as an example to demonstrate the effectiveness of the proposed approach for stochastic back analysis of parameters of multi-layered tailings materials based on the monitoring data of displacements. The results indicate that the proposed approach can effectively reduce the estimation in the uncertainties of the material parameters of tailings dams, accurately infer the probability distributions of the material parameters, and identify the influence degree of different material parameters (e.g., elastic modulus, Poisson's ratio) on the deformation of the tailings dams.
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2020 |
Huang F, Cao Z, Jiang S-H, Zhou C, Huang J, Guo Z, 'Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model', Landslides, 17 2919-2930 (2020) [C1]
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2020 |
Jiang SH, Huang J, Qi XH, Zhou CB, 'Efficient probabilistic back analysis of spatially varying soil parameters for slope reliability assessment', Engineering Geology, 271 (2020) [C1]
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2020 |
Zhu L, Huang L, Fan L, Huang J, Huang F, Chen J, et al., 'Landslide susceptibility prediction modeling based on remote sensing and a novel deep learning algorithm of a cascade-parallel recurrent neural network', Sensors, 20 (2020) [C1]
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2020 |
Meng J, Zhang X, Huang J, Tang H, Mattsson H, Laue J, 'A smoothed finite element method using second-order cone programming', Computers and Geotechnics, 123 (2020) [C1]
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2020 |
Wu LZ, Huang J, Fan W, Li X, 'Hydro-mechanical coupling in unsaturated soils covering a non-deformable structure', Computers and Geotechnics, 117 (2020) [C1]
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2020 |
Huang F, Chen J, Du Z, Yao C, Huang J, Jiang Q, et al., 'Landslide susceptibility prediction considering regional soil erosion based on machine-learning models', ISPRS International Journal of Geo-Information, 9 (2020) [C1]
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2020 |
Jiang S, Liu Y, Zhang X, Huang J, Zhou C, 'Stochastic back analysis and comparison of spatially varying geotechnical mechanical parameters based on limited data', Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 39 1265-1276 (2020)
In-situ and laboratory test data are often quite limited, by which it is hard to determine the statistical characteristics of geomechanical parameters. Fortunately, the stochastic... [more]
In-situ and laboratory test data are often quite limited, by which it is hard to determine the statistical characteristics of geomechanical parameters. Fortunately, the stochastic back analysis method provides an approach to overcome the shortcoming. In this paper, three stochastic back analysis methods(i. e., DREAM , BUS and aBUS) of geomechanical parameters accounting for the effect of spatial variation are developed, and the basic principles of the three methods are compared from the aspects of generation of random samples, convergence criterion, model evidence and estimation of posterior probability of failure. Two slope examples are investigated to further compare these three methods systematically on the convergence, computational accuracy and efficiency. Based on these, the DREAM , BUS and aBUS methods are respectively recommended to give priority to tackle different stochastic back analysis problems. The results indicate that the DREAM method has good computational accuracy and efficiency only for dealing with low-dimensional problems, that the BUS method, in which the value of likelihood function multiplier has to be determined before the operation of subset simulation, is preferable to solve high-dimensional problems involving the spatial variability of mechanical parameters and intensive computations likelihood function, and that the a BUS method, which does not rely on the likelihood function multiplier and has good computational accuracy, is fairly suitable for analyzing high-dimensional problems involving the spatial variability of mechanical parameters and less computation of likelihood function, although it is time consuming to quantitatively determine whether the computations converge to the accurate results. (zs) (zs) (zs)
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2020 |
Jiang S, Huang Z, Gan X, Huang J, Huang H, 'Risk assessment and management framework for dike engineering during whole process of design-construction-operation', Advances in Science and Technology of Water Resources, 40 42-49 (2020)
A system analysis model for dike engineering based on Hall three-dimensional structure was proposed and a technical framework for risk assessment and management of dike engineerin... [more]
A system analysis model for dike engineering based on Hall three-dimensional structure was proposed and a technical framework for risk assessment and management of dike engineering during the whole process of design-construction-operation was established. The scope definition in risk analysis, identification of risk factors and working key points in risk factors analysis were clarified. Three key reasons for dike-break in the risk analysis were addressed. The methods for calculating the risk rate and assessing the dike-break risk applicable to different stages were discussed. The risk evaluation and benefit analysis of dike engineering corresponding to different stages were analyzed. The technical processes and implementation points for solution selection and countermeasures for risk control, dynamic monitoring and information feedback were also discussed. The obtained workflows and technical solutions for risk assessment and management of the dike engineering during the whole process of design-construction-operation are expected to be gradually applied and developed in practice.
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2020 |
Wang Y, Huang J, Tang H, 'Global sensitivity analysis of the hydraulic parameters of the reservoir colluvial landslides in the Three Gorges Reservoir area, China', Landslides, 17 483-494 (2020) [C1]
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2020 |
Li SH, Wu LZ, Huang J, 'A novel mathematical model for predicting landslide displacement', SOFT COMPUTING, 25 2453-2466 (2020) [C1]
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2020 |
Xie J, Huang J, Zeng C, Jiang SH, Podlich N, 'Systematic literature review on data-driven models for predictive maintenance of railway track: Implications in geotechnical engineering', Geosciences (Switzerland), 10 1-24 (2020) [C1]
Conventional planning of maintenance and renewal work for railway track is based on heuristics and simple scheduling. The railway industry is now collecting a large amount of data... [more]
Conventional planning of maintenance and renewal work for railway track is based on heuristics and simple scheduling. The railway industry is now collecting a large amount of data with the fast-paced development of sensor technologies. These data sets carry information about the conditions of various components in railway track. Since just before the beginning of the 21st century, data-driven models have been used in the predictive maintenance of railway track. This study presents a systematic literature review of data-driven models applied in the predictive maintenance of railway track. A taxonomy to classify the existing literature based on types of models and types of applications is provided. It is found that applying the deep learning methods, unsupervised methods, and ensemble methods are the new trends for predictive maintenance of railway track. Rail geometry irregularity, rail head defect, and missing rail components detection were the top three most commonly considered issues within the application of data-driven models. Prediction of rail breaks has received increasing attention in the last four years. Among these data-driven model applications, the collected data types are the most critical factors which affect selecting suitable models. Finally, this study discusses upcoming challenges in the predictive maintenance of railway track.
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2020 |
Ni L, Zhang X, Zou L, Huang J, 'Phase-field modeling of hydraulic fracture network propagation in poroelastic rocks', Computational Geosciences, 24 1767-1782 (2020) [C1]
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2020 |
Wang Y, Huang J, Tang H, 'Automatic identification of the critical slip surface of slopes', Engineering Geology, 273 (2020) [C1]
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2020 |
Jiang SH, Liu X, Huang FM, Huang JS, 'Failure mechanism and reliability analysis of soil slopes under rainfall infiltration considering spatial variability of multiple soil parameters', Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, 42 900-907 (2020)
The current reliability studies on slope stability under rainfall infiltration only consider the spatial variability of saturated hydraulic conductivity of soils, while ignores th... [more]
The current reliability studies on slope stability under rainfall infiltration only consider the spatial variability of saturated hydraulic conductivity of soils, while ignores that of shear strength parameters. An infinite slope model is taken as an example, and a modified Green-Ampt model is developed to determine the distribution of moisture content of soils and the wetting front depth within the slope under different rainfall durations. The failure mechanism of the infinite slope considering the interaction of the spatial variabilities of multiple soil parameters and the rainfall infiltration is investigated. Then the probabilities of slope failure under different rainfall durations are compared. The results indicate that a smaller coefficient of variation of saturated hydraulic conductivity induces a smaller probability of slope failure during the initial period of rainfall. However, it will result in a larger probability of slope failure as the rainfall sufficiently progresses. Additionally, during the initial period of rainfall, the uncertainty of slip surface location due to the spatial variability of shear strength parameters of soils will greatly affect the slope stability. In this case, the slope will fail along the weak zones induced by the spatial variability of shear strength parameters besides along the wetting fronts and impermeable layers. As a result, the probability of slope failure is larger when the spatial variability of shear strength parameters is considered. In contrast, the advance of the wetting front is the crucial factor that affects the slope stability during the late period of rainfall. In this case, the slope will fail mainly along the wetting fronts, and consequently the probabilities of slope failure will be similar no matter whether the spatial variability of shear strength parameters is taken into account.
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2020 |
Li W, Fan X, Huang F, Chen W, Hong H, Huang J, Guo Z, 'Uncertainties analysis of collapse susceptibility prediction based on remote sensing and GIS: Influences of different data-based models and connections between collapses and environmental factors', Remote Sensing, 12 1-28 (2020) [C1]
To study the uncertainties of a collapse susceptibility prediction (CSP) under the coupled conditions of different data-based models and different connection methods between colla... [more]
To study the uncertainties of a collapse susceptibility prediction (CSP) under the coupled conditions of different data-based models and different connection methods between collapses and environmental factors, An¿yuan County in China with 108 collapses is used as the study case, and 11 environmental factors are acquired by data analysis of Landsat TM 8 and high-resolution aerial images, using a hydrological and topographical spatial analysis of Digital Elevation Modeling in ArcGIS 10.2 software. Accordingly, 20 coupled conditions are proposed for CSP with five different connection methods (Probability Statistics (PSs), Frequency Ratio (FR), Information Value (IV), Index of Entropy (IOE) and Weight of Evidence (WOE)) and four data-based models (Analytic Hierarchy Process (AHP), Multiple Linear Regression (MLR), C5.0 Decision Tree (C5.0 DT) and Random Forest (RF)). Finally, the CSP uncertainties are assessed using the area under receiver operation curve (AUC), mean value, standard deviation and significance test, respectively. Results show that: (1) the WOE-based models have the highest AUC accuracy, lowest mean values and average rank, and a relatively large standard deviation; the mean values and average rank of all the FR-, IV-and IOE-based models are relatively large with low standard deviations; meanwhile, the AUC accuracies of FR-, IV-and IOE-based models are consistent but higher than those of the PS-based model. Hence, the WOE exhibits a greater spatial correlation performance than the other four methods. (2) Among all the data-based models, the RF model has the highest AUC accuracy, lowest mean value and mean rank, and a relatively large standard deviation. The CSP performance of the RF model is followed by the C5.0 DT, MLR and AHP models, respectively. (3) Under the coupled conditions, the WOE-RF model has the highest AUC accuracy, a relatively low mean value and average rank, and a high standard deviation. The PS-AHP model is opposite to the WOE-RF model. (4) In addition, the coupled models show slightly better CSP performances than those of the single data-based models not considering connect methods. The CSP performance of the other models falls somewhere in between. It is concluded that the WOE-RF is the most appropriate coupled condition for CSP than the other models.
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2020 |
Huang F, Zhang J, Zhou C, Wang Y, Huang J, Zhu L, 'A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction', Landslides, 17 217-229 (2020) [C1]
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2020 |
Huang F, Ye Z, Yao C, Li Y, Yin K, Huang J, Jiang Q, 'Uncertainties of Landslide Susceptibility Prediction: Different Attribute Interval Divisions of Environmental Factors and Different Data-Based Models', Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences, 45 4535-4549 (2020) [C1]
The attribute interval numbers (AIN) in the frequency ratio analysis of continuous environmental factors and the landslide susceptibility model are two important uncertainties aff... [more]
The attribute interval numbers (AIN) in the frequency ratio analysis of continuous environmental factors and the landslide susceptibility model are two important uncertainties affecting the results of landslide susceptibility prediction (LSP). To study the effects of the two uncertain factors on the change rules of LSP, taking Shangyou County of Jiangxi Province, China, as study area, the AIN values of the continuous environmental factors are respectively set to be 4, 8, 12, 16 and 20. Meanwhile, five different data-based models (analytic hierarchy process (AHP), logistic regression (LR), BP neural network (BPNN), support vector machines (SVM) and random forests (RF)) are selected as LSP models. Hence, there are a total of 25 types of different calculation conditions for LSP. Finally, the accuracy and uncertainties of LSP are analyzed. The results show that: (1) For a certain model, the LSP accuracy gradually increases with the AIN value increasing from 4 to 8, then slowly increases to a stable level with AIN increasing from 8 to 20; (2) For a certain AIN, the LSP accuracy of the RF model is higher than SVM, followed by the BPNN, LR and AHP models; (3) Under all the 25 calculation conditions, the prediction accuracy of AIN=20 and RF model is the highest while that of AIN=4 and AHP model is the lowest, and the modeling efficiency and accuracy of AIN=8 and RF model are very high;(4) The landslide susceptibility indexes calculated by the higher AIN and more advanced machine learning models are more consistent with the actual distribution features of landslide probability and have relatively lower uncertainties. It can be concluded that an efficient and relatively accurate LSP model can be built under the condition of AIN value of 8 and RF model.
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2020 |
Huang F, Yang J, Zhang B, Li Y, Huang J, Chen N, 'Regional Terrain Complexity Assessment Based on Principal Component Analysis and Geographic Information System: A Case of Jiangxi Province, China', ISPRS International Journal of Geo-Information, 9 (2020) [C1]
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2020 |
Chang Z, Gao H, Huang F, Chen J, Huang J, Guo Z, 'Study on the creep behaviours and the improved Burgers model of a loess landslide considering matric suction', Natural Hazards, 103 1479-1497 (2020) [C1]
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2020 |
Jiang SH, Liu Y, Zhang HL, Huang FM, Huang JS, 'Quantitatively evaluating the effects of prior probability distribution and likelihood function models on slope reliability assessment', Yantu Lixue/Rock and Soil Mechanics, 41 3087-3097 (2020)
The number of available site-specific test data is often sparse because of limited budgets and inherent restrictions at the project sites. It is difficult to evaluate accurate sta... [more]
The number of available site-specific test data is often sparse because of limited budgets and inherent restrictions at the project sites. It is difficult to evaluate accurate statistics of geotechnical parameters and slope reliability based on such limited test data. Bayesian analysis method can effectively reduce the estimation of the uncertainties of geotechnical parameters and improve the slope reliability by integrating the limited site-specific information. However, currently most Bayesian updating studies assume the prior probability distributions of geotechnical parameters as normal, lognormal and uniform distributions, and assume the likelihood function as multivariate normal distribution. The rationale behind this assumption needs to be verified. To this end, this paper summarizes commonly-used prior probability distribution and likelihood function models for Bayesian analysis in geotechnical engineering. An undrained clay slope is investigated as an example to explore the influences of the prior probability distribution and likelihood function on the inference of posterior probability distributions of geotechnical parameters and reliability updating of spatially varying slopes based on an adaptive Bayesian updating approach. The results indicate that the prior probability distribution has an important influence on the inference of posterior probability distributions and reliability updating of spatially varying slopes. The obtained posterior probability distributions of geotechnical parameters are less spread when the lognormal and extreme value I distributions are selected as the prior probability distribution. The obtained slope reliability results are conservative and risky, respectively, when the Beta and extreme value I distributions are chosen; while they are in the middle when the lognormal distribution is chosen. In contrast, the likelihood function has more significant effects. In comparison with the other types of likelihood function, the likelihood function constructed using joint multivariate normal distribution not only can reduce the estimation of the uncertainties of geotechnical parameters, but also can obtain more consistent results with the site-specific information. In addition, the autocorrelation of the measurement errors at different locations that used in constructing the likelihood function also has a certain effect on the posterior probability of slope failure.
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2020 |
Jiang S-H, Liu X, Huang J, 'Non-intrusive reliability analysis of unsaturated embankment slopes accounting for spatial variabilities of soil hydraulic and shear strength parameters', ENGINEERING WITH COMPUTERS, (2020)
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2020 |
Wang Y, Huang J, Tang H, Zeng C, 'Bayesian back analysis of landslides considering slip surface uncertainty', Landslides, 17 2125-2136 (2020) [C1]
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2019 |
Yang R, Huang J, Griffiths DV, Meng J, Fenton GA, 'Optimal geotechnical site investigations for slope design', Computers and Geotechnics, 114 (2019) [C1]
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2019 |
Meng J, Huang J, Lin H, Laue J, Li K, 'A static discrete element method with discontinuous deformation analysis', International Journal for Numerical Methods in Engineering, 120 918-935 (2019) [C1]
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2019 |
Huang J, Zeng C, Kelly R, 'Back analysis of settlement of Teven Road trial embankment using Bayesian updating', Georisk, 13 320-325 (2019) [C1]
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2019 |
Meng J, Cao P, Huang J, Lin H, Li K, Cao R, 'Three-dimensional spherical discontinuous deformation analysis using second-order cone programming', Computers and Geotechnics, 112 319-328 (2019) [C1]
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2019 |
Yang R, Huang J, Griffiths D, Li J, Sheng D, 'Importance of soil property sampling location in slope stability assessment', CANADIAN GEOTECHNICAL JOURNAL, 56 335-346 (2019) [C1]
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2019 |
Meng J, Cao P, Huang J, Lin H, Chen Y, Cao R, 'Second-order cone programming formulation of discontinuous deformation analysis', INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 118 243-257 (2019) [C1]
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2019 |
Liu X, Shao G, Huang J, Su J, Xu H, 'Stability analysis of gravity anchorage: a case study of Taizhou Yangtze River Bridge', European Journal of Environmental and Civil Engineering, (2019)
This article presents a case study of the stability of the south anchorage of Taizhou Yangtze River Bridge in China. The gravity anchorage was embedded in soil and designed accord... [more]
This article presents a case study of the stability of the south anchorage of Taizhou Yangtze River Bridge in China. The gravity anchorage was embedded in soil and designed according to the current code of China. The code-based stability assessment is based on two-dimensional (2D) analyses under the assumption of plane strain conditions. Two typical failure modes of sliding and overturning are considered separately. The 2D plane strain model assumes the size of a structure in one dimension is significantly larger than the sizes in the other two dimensions. It is, thus, unsuitable for gravity anchorage because its sizes are similar in all three dimensions. Additionally, the effect of surrounding soil is ignored apart from the base friction in the anti-sliding stability assumption leading to the conservative design. Therefore, a three-dimensional model is more appropriate. Three-dimensional finite element model combined with strength reduction method is used to analyse the stability of anchorage. Reduced-scale model tests are used to calibrate the numerical model. The results show that the code-based design is indeed too conservative. The effects of stiffness and strength of the surrounding soil on the stability of anchorage are investigated through parametric studies to facilitate the economical design of gravity anchorage.
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2019 |
Yao C, He C, Yang J, Jiang Q, Huang J, Zhou C, 'A Novel Numerical Model for Fluid Flow in 3D Fractured Porous Media Based on an Equivalent Matrix-Fracture Network', GEOFLUIDS, (2019)
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2019 |
Zhu D, Griffiths V, Huang J, Gao Y, Fenton GA, 'Probabilistic Analysis of Shallow Passive Trapdoor in Cohesive Soil', Journal of Geotechnical and Geoenvironmental Engineering, 145 (2019) [C1]
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2019 |
Sun Y, Huang J, Jin W, Sloan SW, Jiang Q, 'Bayesian updating for progressive excavation of high rock slopes using multi-type monitoring data', Engineering Geology, 252 1-13 (2019) [C1]
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2019 |
Zheng D, Huang JS, Li DQ, 'An approach for predicting embankment settlement by integrating multi-source information', Yantu Lixue/Rock and Soil Mechanics, 40 709-727 (2019) [C1]
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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]
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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]
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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]
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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)
Quantitative risk assessment of slope failure is an important prerequisite for formulating rational strategies for landslide risk mitigation and developing landslide risk-based wa... [more]
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.
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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) [C1]
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2018 |
Jiang SH, Liu X, Yao C, Yang JH, Huang JS, Jiang XH, 'System reliability analysis of rock slopes at low probability levels', Yantu Lixue/Rock and Soil Mechanics, 39 2991-3000 (2018)
To effectively tackle system reliability problems of rock slopes involving multiple correlated potential failure modes at small probability levels, this paper aims to propose a su... [more]
To effectively tackle system reliability problems of rock slopes involving multiple correlated potential failure modes at small probability levels, this paper aims to propose a subset simulation-based approach for system reliability analysis of rock slopes. The expressions for system failure probability calculation of typical slope systems are derived. To account for the correlations among multiple failure modes, the ¿max¿ and ¿min¿ functions are utilized to construct the system performance functions. A benchmark rock slope with two sliding blocks and the left abutment slope of Jinping I slope with multiple correlated failure modes are investigated to demonstrate the effectiveness of the proposed approach. The results indicate that the proposed approach is much more efficient than the Monte-Carlo simulation (MCS) and more accurate than the first order approximation, N-dimensional equivalent method and Ditlevsen¿s bounds method when solving the system reliability problems of rock slopes with small probabilities. In summary, it provides an effective means for tackling system reliability problems of complex rock slopes at small probability levels. In addition, the correlations among different failure modes can be effectively quantified with the aid of the ¿max¿ and ¿min¿ functions, which greatly facilitates the system reliability analysis of rock slopes.
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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)
Reliability analysis of spatially variable slopes involves repeatedly evaluating the slope stability using a deterministic analysis method such as the limit equilibrium method (LE... [more]
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.
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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]
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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]
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2018 |
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 (2018) [C1]
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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]
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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]
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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]
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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)
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 pr... [more]
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.
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2018 |
Jiang SH, Liu X, Yao RZ, Jiang QH, Huang JS, Zhou CB, 'Optimization design approach for layout scheme of slope boreholes based on Bayesian updating and value of information analysis', Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, 40 1871-1879 (2018)
To obtain more valuable site-specific test data with the minimal site exploration effort, it is of great significance to design an optimal site exploration program before geotechn... [more]
To obtain more valuable site-specific test data with the minimal site exploration effort, it is of great significance to design an optimal site exploration program before geotechnical site investigation. This paper aims to propose an optimization design approach for layout scheme of slope boreholes based on the Bayesian updating and value of information analysis. The BUS (Bayesian updating with structural method) with subset simulation is employed to update the posterior statistical properties of spatially varying soil properties and to estimate the posterior probability of slope failure. Then, the value of information analysis is used to determine the most optimal borehole locations and separation distances between two boreholes. Additionally, to accurately characterize the prior information of soil parameters, a non-stationary random field model is developed wherein the depth-dependent nature of soil parameters is addressed. Finally, a clay slope example under undrained conditions is investigated to demonstrate the effectiveness of the proposed approach. The results indicate that the proposed approach can effectively determine the most optimal borehole locations and separation distances between two boreholes prior to performing site investigation tests based on the prior information of soil parameters. To design a separation distance between two boreholes as small as possible during geotechnical site investigation is not necessarily the best choice to understand the performance of the slope.
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2018 |
Jiang S-H, 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) [C1]
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2018 |
Jiang S-H, Zeng S-H, Yang J-H, Yao C, Huang J-S, Zhou C-B, 'Slope reliability analysis by simulation of non-stationary random field of undrained shear strength', ROCK AND SOIL MECHANICS, 39 1071-1081 (2018)
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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]
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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]
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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)
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2017 |
Meng J, Huang J, Sheng D, Sloan SW, 'Granular contact dynamics with elastic bond model', ACTA GEOTECHNICA, 12 479-493 (2017) [C1]
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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]
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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]
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 addi... [more]
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.
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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]
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... [more]
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.
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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]
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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]
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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]
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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]
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 ... [more]
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.
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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]
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2017 |
Huang J, Fenton GA, Zhang L, Griffiths DV, 'Preface', Geotechnical Special Publication, iii (2017) [C3]
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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]
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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]
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 pro... [more]
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.
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2017 |
Jiang SH, Wei BW, Huang JS, 'Probabilistic back analysis of slope failure considering spatial variability of soil properties', Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, 39 475-485 (2017)
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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 ... [more]
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.
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2016 |
Huang J, Griffiths DV, 'Modelling spatial variability in geotechnical engineering', Georisk, 10 1-1 (2016)
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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]
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 unifo... [more]
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.
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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]
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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]
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2016 |
Li J, Cassidy MJ, Huang J, Zhang L, Kelly R, 'Probabilistic identification of soil stratification', GEOTECHNIQUE, 66 16-26 (2016) [C1]
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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]
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2015 |
Kelly R, Huang J, 'Bayesian updating for one-dimensional consolidation measurements', Canadian Geotechnical Journal, 52 1318-1330 (2015) [C1]
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 observation... [more]
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.
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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]
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 dir... [more]
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.
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2015 |
Huang J, Griffiths DV, 'Determining an appropriate finite element size for modelling the strength of undrained random soils', Computers and Geotechnics, 69 506-513 (2015) [C1]
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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.
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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.
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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.
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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.
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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]
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2013 |
Griffiths DV, Paiboon J, Huang J, Fenton GA, 'Reliability analysis of beams on random elastic foundations', GEOTECHNIQUE, 63 180-188 (2013) [C1]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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2012 |
Krabbenhoft K, Huang J, Vicente Da Silva MJ, Lyamin AV, 'Granular contact dynamics with particle elasticity', Granular Matter, 14 607-613 (2012) [C1]
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2011 |
Huang J, Griffiths DV, Wong S-W, 'Characterizing natural-fracture permeability from mud-loss data', SPE journal, 16 111-114 (2011) [C1]
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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]
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2011 |
Griffiths DV, Huang J, Fenton GA, 'Probabilistic infinite slope analysis', Computers and Geotechnics, 38 577-584 (2011) [C1]
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2011 |
Huang J, Griffiths DV, 'Observations on FORM in a simple geomechanics example', Structural Safety, 33 115-119 (2011) [C1]
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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]
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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]
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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]
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2010 |
Huang J, Griffiths DV, Fenton GA, 'System reliability of slopes by RFEM', Soils and Foundations, 50 343-353 (2010) [C1]
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2010 |
Huang J, Griffiths DV, Fenton GA, 'Probabilistic analysis of coupled soil consolidation', Journal of Geotechnical and Geoenvironmental Engineering, 136 417-430 (2010) [C1]
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2009 |
Huang J, Griffiths DV, 'Return mapping algorithms and stress predictors for failure analysis in geomechanics', Journal of Engineering Mechanics, 135 276-284 (2009)
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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]
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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]
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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]
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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]
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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]
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2008 |
Huang J, Griffiths D, 'Observations on return mapping algorithms for piecewise linear yield criteria', International Journal of Geomechanics, 8 253-265 (2008) [C1]
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2008 |
Huang J, Griffiths DV, 'Observations on return mapping algorithms for piecewise linear yield criteria', International Journal of Geomechanics, 8 253-265 (2008)
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2005 |
Pan C, Huang J, 'Multi-Material Euler Algorithm for Numerical Simulation of the Near Water Surface Explosion', China Rural Water and Hydropower, 40-43 (2005) |
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2005 |
Huang J, Zhu X-L, Pan C, 'Finite element analysis of stress and deformation of Concrete Face Rock-fill Dam', China Rural Water and Hydropower, 40-43 (2005) |
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2005 |
Wu J, Huang J, Yan H, '3D FEM Analysis on Clay Core of Earth Dam of Yunlong Reservoir', HUBEI WATER POWER, 30-32 (2005) |
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2005 |
Yu Y, Huang J, '3D FEM analysis of stress & deformation of CFRD of Guanyinyan Hydropower', Hubei Water Power, 30-34 (2005) |
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2005 |
Wang J, Huang J, Pan C, 'Finite element method seepage analysis of Niujiaochong Fly Ash Dam of Xiangtan Power Plant', Water Resources and Power, 23 67-69 (2005) |
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2004 |
Huang J, Yan H, Pan Y, 'Three dimensional finite element stress and deformation analyses of Concrete Face Rock-Fill Dam of Bajiao River', China Rural Water and Hydropower, 75-77 (2004) |
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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)
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 structur... [more]
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.
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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)
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 cal... [more]
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.
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2002 |
Lai G, Lu X, Chang X, Huang J, 'Stability analysis of Longtan RCC dam by unequal strength reduction method', Hydro Science and Engineering, 42-47 (2002) |
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2002 |
Huang J, Wang X, Lai G, Lu X, 'Comparison between two methods of determining the ultimate strength of Longtan gravity dam', Hongshui River, 21 4-7 (2002) |
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2002 |
Huang J, 'Nonlinear buckling of composite shells of revolution', Journal of Aerospace Engineering, 15 64-71 (2002)
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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)
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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]
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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] |
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2000 |
Lai G-W, LU S-Y, Chang X-L, Huang J, 'Analysis on the failure mechanism of stability of high RCC gravity dam and its ultimate load bearing capacity', Water Power, 17-20 (2000) |
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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.
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1999 |
Huang J, 'A Simple Method to Calculate the Nonlinear Stability of Rotational Shell of Composite Material', Journal of Wuhan University of Hydraulic and Electric Engineering, 32 87-90 (1999) |
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1999 |
Huang J, Lai G-W, Chang X, Lu X, 'Stress and deformation analysis of the flooding dam of the da chao shan hydroelectric power station', Journal of Wuhan University of Hydraulic and Electric Engineering, 32 12-17 (1999) |
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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)
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 st... [more]
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.
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1997 |
Wei D, Huang J, Zeng G, 'The Stability of Rib-Reinforced Thin Cylindrical Shell Made of Composite', Journal of Huazhong University of Science and Technology, 25 94-97 (1997) |
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1997 |
Huang J, Wei D, Zeng G, 'A study on the dome strength of a submarine-launched missile', Journal of Huazhong University of Science and Technology, 25 88-91 (1997) |
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1997 |
Jin C, Huang J, Zeng G, 'An analysis of the influence of the ship type on the wave load by the hydroelastic method', Journal of Huazhong University of Science and Technology, 25 48-50 (1997) |
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1997 |
Huang J, Fang C, 'An ISUM for finite element nonlinear analysis of complicated plate and beam structures', Chinese Journal of Computational Mechanics, 14 121-124 (1997) |
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1996 |
Jin C, Huang J, Zeng G, 'A fuzzy random reliability analysis for ship structure under overall longitudinal bending', Journal of Huazhong University of Science and Technology, 25 105-107 (1996) |
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1994 |
Huang J, Jin C, 'ADINA and its applications in structural analysis of oversea mooring system', Wuhan Shipbuilding, 5-8 (1994) |
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