Article
Engineering, Geological
Jinhui Li, Chenglong Wu, Wuzhang Luo, Luwei Sun, David J. White
Summary: Classical bearing capacity theory cannot consider the influence of inherent soil variability. A theoretical model using upper-bound solutions is established in this study to analyze the bearing capacity of shallow foundations on undrained clay considering spatial variability. The model accurately captures the effect of spatially varying strength and has comparable accuracy and computational efficiency to the finite-element analysis.
Article
Engineering, Geological
Shuang Shu, Yufeng Gao, Yongxin Wu, Zhitao Ye
Summary: A probabilistic study was conducted on the bearing capacity of two parallel strip footings on a spatially variable soil with undrained shear strength increasing linearly with depth. The study also compared the single footing case and discussed the effect of footing interference. Monte Carlo simulations were used to evaluate the bearing capacity for different degrees of nonstationarity and spatial correlation length in undrained shear strength.
INTERNATIONAL JOURNAL OF GEOMECHANICS
(2021)
Article
Engineering, Marine
Zhitao Ye, Yufeng Gao, Shuang Shu, Yongxin Wu
Summary: The probabilistic failure envelopes of skirted foundations under VHM loading conditions were investigated in the study, using a combination of RFEM, random field theory, finite element method, and Monte Carlo simulation. The spatial variability of natural soils was discussed with regards to its influence on the stochastic response of bearing capacity in the HM space. Deterministic failure envelopes for skirted foundations are commonly used in stability assessment, but fail to account for the spatial variability of natural soils.
Article
Chemistry, Physical
Zofia Zieba, Malgorzata Krokowska, Marek Wyjadlowski, Janusz Vitalis Kozubal, Tomasz Kania, Jakub Monka
Summary: This research investigates the influence of the scale effect on the bearing capacity of fine-grained subsoil under undrained conditions. The study used laboratory tests to analyze the effect of different sample sizes on the undrained shear strength of the soil. The results showed a decrease in shear strength with increasing sample size, highlighting the importance of considering sample size in calculating bearing capacity.
Article
Chemistry, Physical
Rongtao Yan, Hongfei Yu, Dehuan Yang, Hao Tang, Qin Zhang
Summary: This study conducted experiments on methane hydrate-bearing sand specimens to analyze the shear strength and excess pore pressure characteristics of the sediment under undrained conditions. The results showed that hydrate saturation and initial effective confining pressure significantly influenced the undrained mechanical behavior of the sediment.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Environmental Sciences
Cheng Yu, Yukun Li, Weiya Ge, Faming Zhang, Xiaolan Hou, Zinan Li, Menglong Dong
Summary: This paper investigates the effect of statistical anisotropy of undrained shear strength on the probability of slope failure in stratified slopes. The results show that the correlation scale of undrained shear strength has a significant impact on the slope stability, and underestimation or overestimation of the correlation scale can lead to an overestimation of the slope stability.
Article
Engineering, Geological
Zhichao Shen, Qiujing Pan, Siau Chen Chian, Susan Gourvenec, Yinghui Tian
Summary: This paper investigates the probabilistic failure envelopes of strip foundations on spatially variable soils. The study finds that the random field parameters have a considerable effect on the probabilistic uniaxial capacities, but an insignificant effect on the shape of the failure envelopes. In contrast, the soil strength heterogeneity index has the highest effect on the shape of the failure envelopes.
Article
Engineering, Industrial
Danko J. Jerez, M. Chwala, Hector A. Jensen, Michael Beer
Summary: This paper proposes a framework for designing optimal borehole configurations for shallow foundation systems under undrained soil conditions. It minimizes the standard deviations of the bearing capacity to ensure performance. The method adopts a random failure mechanism for evaluating random bearing capacity and provides sensitivity information of the selected performance measure.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Ocean
Bing Li, Shuai Wang, Ning Chen
Summary: This paper studies the effects of non-stationary soil property on the horizontal bearing capacity of three-dimensional monopile in spatially variable soils. The soil undrained shear strength is assumed to follow a lognormal distribution and is simulated as non-stationary random fields. The random finite-element method is used to analyze the reliability of the bearing capacity, taking into consideration the influence of correlations and non-stationary property.
MARINE GEORESOURCES & GEOTECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Haifeng Cheng, Houle Zhang, Zihan Liu, Yongxin Wu
Summary: This study proposes an efficient machine-learning method to predict the uniaxial bearing capacity factors of skirted foundations under pure horizontal and moment loads, without relying on traditional time-consuming random finite element methods.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Eyo Eyo, Samuel Abbey
Summary: The study found that non-stabilised soils with lower amounts of sulphates exhibited greater volume changes, indicating that adding sulphates can promote the bonding of soil particles. Increasing the amount of sulphates in stabilised soil led to a greater volume change, which was attributed to the use of unreacted gypsum in the stabilisation process.
APPLIED SCIENCES-BASEL
(2022)
Article
Geosciences, Multidisciplinary
Wenxin Liu, Yanjv Peng, Jingjing Wang
Summary: This study aims to accurately evaluate the seismic safety of Beijing by quantifying and qualifying the soil layer properties. The time average shear-wave velocity in the first 30 m of subsoil, V-s30, is an important parameter used in seismic analysis and estimation. The paper presents a geostatistical-based random field model combined with Monte Carlo simulations to map V-s30 over extended areas, considering spatial variations and uncertainties. Using 388 shear wave velocity measurements in Beijing, probabilistic V-s30 maps are generated, testing the effect of the number of previously generated elements on the estimation.
FRONTIERS IN EARTH SCIENCE
(2023)
Article
Engineering, Geological
Marcin Chwala, Marek Kawa
Summary: This study evaluates the bearing capacity for a surface strip foundation on a two-layered substrate using the random failure mechanism method. Various factors such as foundation length, trend slope, fluctuation scales, and thickness of sand layer are analyzed for their influence on the results. The efficiency of the RFMM algorithm is preserved and a combined approach is suggested for scenarios where RFDM employs non-associated flow rule.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2021)
Article
Engineering, Geological
Lijun Ke, Yufeng Gao, Zihao Zhao, Yundong Zhou, Jian Ji
Summary: The study emphasizes that the overall distribution of different soil profiles affects the bearing capacity and failure modes, demonstrating that variation in soil strength in the horizontal direction significantly influences the bearing capacity. Additionally, novel trends in bearing capacity and the rotation of strip footings were discovered.
INTERNATIONAL JOURNAL OF GEOMECHANICS
(2021)
Article
Geosciences, Multidisciplinary
Wengang Zhang, Chongzhi Wu, Haiyi Zhong, Yongqin Li, Lin Wang
Summary: This study applies XGBoost and RF methods to predict the USS of soft clays, showing that these approaches outperform traditional methods. Bayesian optimization is used to determine model hyperparameters, leading to more accurate and robust models.
GEOSCIENCE FRONTIERS
(2021)
Article
Engineering, Geological
Chen Chen, Limin Zhang
Summary: Numerous incidents and failures of earth slopes, dykes, levees and embankment dams are caused by internal erosion, especially under extreme rainfall, storm surges, waves, and flash floods induced by global climate change. This study conducted laboratory tests to investigate the development of internal erosion and changes in hydraulic conductivity under one-way cyclic seepage, as well as the post-erosion stress-strain behavior. The results showed that the erosion development is significantly influenced by the initial grain size distribution and the pattern of imposed cyclic hydraulic gradient, and the cyclic seepage promotes the loss of fine particles and leads to larger hydraulic conductivity.
Article
Engineering, Multidisciplinary
W. J. Lu, B. Li, J. F. Hou, X. W. Xu, H. F. Zou, L. M. Zhang
Summary: This study investigates the vibratory penetration of large-diameter steel cylinders in the Hong Kong-Zhuhai-Macao Bridge (HZMB). Based on geological surveys, field monitoring, and drivability analysis, the vibratory penetration rate, installation accuracy, and dynamic responses of the steel cylinders at both the eastern and western artificial islands are analyzed. A modified method is proposed to calculate the vibratory soil resistance for open-ended thin-wall cylinders under unplugged conditions to consider the scale effects and provide more accurate results for engineering practice.
Article
Engineering, Geological
M. Kamali Zarch, L. M. Zhang, S. M. Haeri, Z. D. Xu
Summary: The rheological behavior of dilute soil-water mixtures, containing clay, silt, and sandy particles, is still not well understood. To investigate this, experiments were conducted using a narrow-gap rotational viscometer to evaluate the interactions between colloidal and non-colloidal particles and the possibility of flow regime change. Results showed that the Bingham model could describe the bulk rheological behavior of dilute mixtures and that the viscosity and yield stress played important roles. It was also found that the flow regime change in dilute mixtures was mainly influenced by flow boundary conditions.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Geosciences, Multidisciplinary
Haojie Wang, Lin Wang, Limin Zhang
Summary: This study proposes a transfer learning-based approach for landslide susceptibility assessment, which improves prediction accuracy in data-limited regions by training models in data-rich regions and transferring knowledge through model transfer and fine-tuning.
Article
Geosciences, Multidisciplinary
Haojie Wang, Limin Zhang, Lin Wang, Ruilin Fan, Shengyang Zhou, Yejia Qiang, Ming Peng
Summary: This paper presents an integrated machine learning method for co-seismic landslide detection, combining multi-source data, pixel-based and object-based treatments, and ML techniques. Two case studies in China demonstrate the outstanding performance and generic nature of the proposed method in high-resolution co-seismic landslide detection.
Editorial Material
Engineering, Geological
Chuen-Fa Ni, Chih-Chung Chung, Limin Zhang, Yu Wang, Jia-Jyun Dong
ENGINEERING GEOLOGY
(2023)
Article
Engineering, Geological
Lu-Yu Ju, Li-Min Zhang, Te Xiao
Summary: Landslide volume is closely associated with landslide mobility and damage, but direct measurement on-site is challenging. This study uses high-resolution LiDAR-derived digital terrain models to interpret the volumes of 1326 shallow landslides in Hong Kong. New models are proposed to estimate the volumes of small-scale shallow landslides accurately, enhancing landslide risk assessment and management.
ENGINEERING GEOLOGY
(2023)
Article
Mathematics
Jianhong Zhang, Aixia Wang, Limin Zhang, Xiangsheng Chen
Summary: The development of cities often involves the construction of new tunnels beneath existing structures. This study conducted four centrifuge tests to explore the failure mechanisms involved in such construction. The tests revealed three major mechanisms: rapid sand flow, partial failure, and overall collapse, influenced by tunnel face instability, soil types, and buried structures. The results highlight the importance of soil properties and groundwater in these failure mechanisms.
Review
Engineering, Geological
Marcin Chwala, Kok-Kwang Phoon, Marco Uzielli, Jie Zhang, Limin Zhang, Jianye Ching
Summary: This paper reviews the historical developments of geotechnical risk and reliability over the past six decades, highlighting the natural origin of the ground and the lack of sufficient data as key features in geotechnical engineering. It proposes methods like random field theory and compilation of databases to address these issues. The paper emphasizes the importance of reliability-based design as probabilistic methods offer a pathway to tackle big data and implement data-centric geotechnics.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2023)
Article
Engineering, Geological
Te Xiao, Li -Min Zhang
Summary: This study systematically compares the performances of three categories of data-driven methods for landslide prediction and proposes a novel machine learning model that can accurately predict the spatio-temporal evolution of rain-induced landslides. The model is validated against the landslide incidents in Hong Kong in the past 35 years and outperforms other data-driven models in both prediction ability and accuracy.
ENGINEERING GEOLOGY
(2023)
Article
Engineering, Geological
Jian He, Limin Zhang, Te Xiao, Haojie Wang, Hongyu Luo
Summary: In a changing climate, extreme rainstorms become more frequent and intense, causing thousands of landslides and leading to the loss of hundreds of lives. The current landslide emergency management lacks key information on likely consequences, thus this study presents a novel prompt quantitative risk assessment method. The proposed method accurately predicts the number of affected buildings and potential fatalities, contributing to the advancement of landslide emergency management from hazard-informed to risk-informed.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2023)
Review
Engineering, Geological
Liang Gao, Limin Zhang, Yang Hong, Hong-Xin Chen, Shi-Jin Feng
Summary: Modelling storm water flows in urban areas is essential for designing coping strategies and making decisions. This study summarises methodologies for simulating flood processes and evaluating flood hazards in urban environment and proposes a framework for urban flood hazard prediction. Multidisciplinary techniques are needed to estimate input data and enhance the efficiency and accuracy of flood evaluation.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2023)
Article
Engineering, Geological
Tianzheng Li, Limin Zhang, Wenping Gong, Huiming Tang
Summary: A model based on the discrete element method is proposed to investigate the damage of fractured rocks induced by cyclic freezing-thawing. The model considers cracks as interconnected interparticle pores and simulates the frost heave pressure on the rock grains surrounding the cracks. By classifying cracks connected to the atmosphere as inactive, computational cost and time are reduced. The proposed methodology can be applied to study large-scale problems such as glacier slope instability or landslides.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Engineering, Environmental
Jian He, Limin Zhang, Te Xiao, Haojie Wang, Hongyu Luo
Summary: This paper proposes a deep learning-enabled super-resolution hydrodynamic flood analysis method to simulate real-time pluvial flooding process. The method produces high-resolution flow depth and velocity predictions, providing comprehensive information for flood emergency management.
Article
Engineering, Geological
M. Kamali Zarch, L. M. Zhang, S. M. Haeri, Z. D. Xu
Summary: The rheological behavior of dilute soil-water mixtures, including hyperconcentrated mixtures and interstitial fluids in debris flows, can have a significant impact on the flow dynamics of flow-type landslides. However, the effects of soil type and texture on the rheological behavior of these mixtures are not well understood. This study uses a narrow-gap rotational viscometer to investigate the interactions between colloidal and non-colloidal particles and the possibility of flow regime change. The results demonstrate the applicability of the Bingham model in describing the bulk rheological behavior of dilute mixtures.
CANADIAN GEOTECHNICAL JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Yinghao Deng, Yang Xia, Di Wang, Yan Jin
Summary: This study investigates the mechanism of hydraulic fracture propagation in laminated shale, develops a numerical solver, and validates the effectiveness of the method through simulation experiments. The study also examines the influence of the interaction between hydraulic fractures and weak interfaces on the mechanical properties of shale.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhichao Zhang, Mingfei Feng, Guangshuo Zhou, Zhenglong Xu
Summary: A thermodynamic constitutive model for structured and destructured clays is proposed in this paper. The model includes state-dependent relations of hyperelasticity and plasticity without the concept of yielding surface. The proposed model captures the couplings between elasticity and plasticity and the effects of bonding structure.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Deze Yang, Xihua Chu
Summary: Creep and stress relaxation behaviors in granular materials are influenced by the time-dependent changes in their microstructure, with particle shape playing a significant role. However, the effects of particle shape on these behaviors are still not well understood. In this study, 3D DEM models incorporating the rate process theory and superellipsoids are used to simulate creep and stress relaxation in granular samples with different aspect ratios and blockiness. The results show that both aspect ratio and blockiness have a significant influence on creep and stress relaxation, with aspect ratio affecting creep through contact force ratio and blockiness affecting stress relaxation through variation in normal contact force anisotropy. These findings provide insights into the effects of particle shape on creep and stress relaxation in granular assemblies.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shahab Amanat, Kourosh Gholami, Reza Rafiee-Dehkharghani, Dipanshu Bansal
Summary: This paper investigates the optimal design of wave barriers using the modified non-dominated sorting genetic algorithm-II (NSGA-II) and the Bloch-Floquet theory. The aim is to find the optimal design of plane wave barriers with a wide bandgap at a low-frequency range and low construction cost. The study develops a modified NSGA-II algorithm to determine the optimal arrangement of concrete in wave barrier unit cells. The performance of the optimal barriers is examined through finite element simulation and their efficacy in attenuating plane S-waves is verified.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Yanlin Su, Guoqing Cai, Fengjie Yin, Yepeng Shan, Annan Zhou
Summary: This paper presents a novel elastic-viscoplastic constitutive model that takes into account particle breakage to reproduce the time-dependent behavior of coarse-grained soil. The model integrates the Unified Hardening (UH) model, the elastic-viscoplastic (EVP) model, and the overstress theory. The relationship between particle breakage and loading rate is established, and state variables associated with the critical state of coarse-grained soil are derived to consider both time and particle breakage. A three-dimensional elastic-viscoplastic constitutive model is constructed by combining a one-dimensional viscoplastic hardening parameter with a secondary consolidation coefficient considering particle breakage. The proposed model requires 19 parameters and effectively describes the influence of time-dependency and particle breakage on the shear, dilatancy, and compression behaviors of coarse-grained soil with different confining pressures or initial void ratios. Experimental data comparisons validate the model's ability to replicate the time-dependent behavior of coarse-grained soil.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shichao Zhang, Yaqiong Wang, Qidong Gao, Xiaobo Ma, Haixiao Zhou, Zhifeng Wang
Summary: Accurately evaluating and predicting ground settlement during tunnel excavation is essential for ensuring tunnel stability. This study conducted a probabilistic analysis of ground settlement under uncertain soil properties. The results demonstrate that spatially variable soils significantly influence the ground settlement in the vertical direction.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Xu Zhang, Bin Luo, Youjun Xu, Zhiwen Yang
Summary: This paper presents an analytical solution for horizontal displacements induced by small radius curve shield tunneling. The formula is derived based on the image method and Mindlin solution, considering additional thrust, frictional resistance, ground loss, and grouting pressure. The solution is validated with on-site data, demonstrating its reliability and providing a new approach for predicting and controlling stratum horizontal displacements in curve shield tunneling. The study finds that ground loss has the most significant influence on displacements, and soil closer to the tunnel exhibits larger horizontal displacements.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jian-Hong Wan, Ali Zaoui
Summary: Ground vibrations during earthquakes can cause soil strength loss and structural damage. Rubber-soil mixtures (RSM) have shown promise in reducing residual ground deformation. This study used molecular dynamics simulations to investigate the friction behavior of the rubber-clay interface in RSM systems. The results revealed a direct correlation between normal stress and friction force, with denser soil systems exhibiting higher friction forces.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Hongying Wang, Qiang Zhang, Peinan Wu, Yanjing Li, Lijun Han, Guilei Han
Summary: In addition to the Mohr-Coulomb and Hoek-Brown criteria, other nonlinear functions are used to describe the plastic response of rock mass. This paper derived the equivalent cohesive strength, frictional angle, and dilatancy angle for nonlinear yield and plastic flow rock masses. The solution for a circular tunnel in any nonlinear yield and plastic flow rock masses was derived and verified using a numerical procedure. The analysis of strain-softening rock masses under two assumed nonlinear yield criteria was also studied.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhijun Wu, You Wu, Lei Weng, Mengyi Li, Zhiyang Wang, Zhaofei Chu
Summary: This study proposed a machine learning approach to predict the uniaxial compression strength (UCS) and elastic modulus (E) of rocks. By measuring meso-mechanical parameters and developing grain-based models, a database with 225 groups of data was established for prediction models. The optimized kernel ridge regression (KRR) and gaussian process regression (GPR) models achieved excellent performance in predicting UCS and E.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Mingjun Zhou, Zhenming Shi, Chong Peng, Ming Peng, Kahlil Fredrick E. Cui, Bo Li, Limin Zhang, Gordon G. D. Zhou
Summary: In this paper, the erosion and deposition processes during overtopping dam breaching are simulated using a novel method (ED-SPH). The proposed model is able to capture the complex behaviors of dam soil erosion, entrainment, and depositions. Soil deposition hinders particle movement and reduces water velocity at the water-soil interface.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
C. Chavez-Negrete, F. J. Dominguez-Mota, R. Roman-Gutierrez
Summary: To accurately simulate groundwater flow in porous layered media, it is important to consider all environmental factors and use a generalized finite differences scheme as a meshless method for spatial discretization. This approach ensures robustness and accuracy of the numerical solution.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Shuairun Zhu, Lulu Zhang, Lizhou Wu, Lin Tan, Haolong Chen
Summary: This paper investigates the effectiveness of the cascadic multigrid method applied to the improved Picard iteration method for solving nonlinear problems in deforming variably saturated porous media. Two improved Picard iteration methods are proposed, and their effectiveness is verified through numerical examples. The results show that the improved methods have faster convergence and higher computational efficiency compared to the classical method.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Yuan Cao, Yan-Guo Zhou, Kyohei Ueda, Yun-Min Chen
Summary: Investigated shear stress responses of enclosed soil in deep soil mixing (DSM) grid-improved ground, and revealed the characteristics of the waist effect and mathematical model for shear stress reduction ratio.
COMPUTERS AND GEOTECHNICS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jinfan Chen, Zhihong Zhao, Jintong Zhang
Summary: This study develops data-driven criteria to estimate the peak shear strength (PSS) of rock fractures, considering the effects of surface roughness features. A high-quality dataset is created using particle-based discrete element method and diamond-square algorithm. Tree-based models and convolutional neural network are trained to predict the PSS of rock fractures, and their reliability is verified using experimental data.
COMPUTERS AND GEOTECHNICS
(2024)