Article
Engineering, Geological
Dejian Li, Wentao Jia, Yansong Yang, Yingbin Zhang, Xiao Cheng, Lianheng Zhao
Summary: This study analyzes the stability of slope bodies based on back edge tensile cracks and proposes an improved method to analyze the interaction relationship between the upper and lower parts of the slope. A slope stability analysis system composed of four failure cases is constructed, and the failure probability and dominant failure mode of the system are analyzed using the limit equilibrium method and the Monte Carlo method. The results show that an increase in the fracture connectivity ratios of the two regions leads to a decrease in slope stability, and the seismic acceleration coefficients aggravate the interaction relationship between the two regions.
Article
Engineering, Environmental
Zhiyong Yang, Jiayan Nie, Xing Peng, Dong Tang, Xueyou Li
Summary: This study systematically investigates the influence of RFE size on statistics of factor of safety (FS) and sliding mass (SM) distribution, critical slip surfaces, reliability, and risk of slopes, showing that the RFE sizes have a relatively larger influence on the distribution of SM than that of FS, tending to overestimate slope failure probability and risk with larger RFE sizes.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Le-Pei Wang, Tao Wang, Yining Hu, Wenwang Liao, Jian Ji
Summary: This study proposes a framework for probabilistic analysis of pile-reinforced earth slopes using a weighted uniform simulation method. It effectively reduces computational cost and systematically investigates the influence of different pile design parameters on the probabilistic stability analysis of reinforced slopes.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Yadong Liu, Xueyou Li, Xian Liu, Zhiyong Yang
Summary: This paper proposes a novel method that combines the shear strength reduction technique, surrogate models, and an adaptive pool-based sampling strategy for efficient slope reliability analysis. The method replaces the time-consuming slope stability model with a surrogate model and utilizes the SSR technique and adaptive sampling to generate informative training samples, thereby improving computational efficiency.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Huajin Zhang, Shunchuan Wu, Zhongxin Zhang, Shigui Huang
Summary: This study proposes a reliability analysis method for evaluating the stability of jointed rock slopes, considering the uncertainty of joint spatial distribution. The method utilizes the discrete fracture network (DFN) model to characterize the variability of joint geometric parameters and employs Latin hypercube sampling to sample uncertain random variables and generate random numbers. The safety factor and failure probability of jointed rock slopes are calculated using the strength reduction method and statistical analysis of the numerical models. The results show that considering the uncertainty of joint spatial distribution is crucial for accurately assessing the reliability of rock slopes.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Engineering, Geological
Dowon Park
Summary: Cracks have a significant influence on slope stability, especially for slopes with soil strength governed by a linear criterion. This study analyzes rock slopes with cracks using a nonlinear rock model. The kinematic approach of limit analysis is used to consider open cracks and provide rigorous bounds to limit loads. The depth range of vertical cracks in the Hoek-Brown rock mass is derived for different crack boundary conditions. The presence of cracks reduces tensile stress but maintains compressive stress in rock slopes.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Geosciences, Multidisciplinary
Zhang Han, Chen JianKang, Kou Qing Jian, Pei Liang, Huang Huibao
Summary: The proposed method in this paper provides a fast prediction of the safety state of reservoir bank rock slope based on time-dependent deformation and rock creep, allowing for online forecasting of stability and reliability coefficients using deformation data. Verification on a left bank slope of the Dagangshan arch dam showed that the method met engineering requirements with errors within 5% for slope stability safety coefficient prediction and within 10% for reliability index prediction. This method offers a new way for rapid prediction of slope engineering safety.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Engineering, Environmental
Chaoyi Sun, Congxin Chen, Wei Zhang, He Liu, Haina Zhang, Xugen Song
Summary: This study establishes a bi-planar mechanical model to analyze the stability of concealed bedding rock slopes supported by fully grouted bolts. Through parametric analysis, it is found that optimal bolt angle, diameter, and location can greatly enhance the stability of the slopes, and the results are consistent with discrete element modeling. The proposed method of analysis provides a reliable basis for better understanding the reinforcement mechanism of fully grouted bolts and serves as a useful design tool for protecting concealed bedding rock slopes against bi-planar failure.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2023)
Article
Engineering, Civil
Qi Li, Yimin Wang, Kunbiao Zhang
Summary: This study conducted numerical investigations on the hydraulic response and stability of weak rock slopes under subtropical climate conditions in Guangdong Province, China, exploring different failure mechanisms of various weak rock slopes. The results revealed the instability differences of weak rock slopes under subtropical climate, providing valuable information for mitigating potential landslide disasters.
KSCE JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Engineering, Geological
Dehui Kong, Qiang Luo, Wensheng Zhang, Liangwei Jiang, Liang Zhang
Summary: The study utilizes a coupled Markov chain model to describe the occurrence of different geotechnical types and performs reliability analysis using a response surface method and Monte Carlo simulation. A case study using actual borehole data is carried out, and the results suggest that this method can be used for reliability analysis of complex slopes.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING
(2022)
Article
Automation & Control Systems
Zhao Tang Luo, Huiyan Sang, Bani Mallick
Summary: This article presents a Bayesian partitioning prior model based on spanning trees of a graph for clustering and detecting clusters with arbitrary shapes and sizes. The method is embedded within a hierarchical modeling framework to detect clustered patterns in latent variables and Bayesian posterior concentration results are proven. An efficient collapsed Reversible Jump Markov chain Monte Carlo algorithm is designed for estimating clustered coefficient values and uncertainty measures.
JOURNAL OF MACHINE LEARNING RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Lin Jia, Jingsen Cai, Li Wu, Tiange Qin, Kun Song
Summary: The stability of slopes in fractured rock masses was evaluated using a DFN-DEC model based on the MATLAB platform. The model was found to be accurate, robust, and capable of generating realistic fracture networks. Probabilistic analysis and Monte Carlo simulation were used to obtain more accurate stability assessment results. It was also observed that geometric characteristics related to inclined fractures had a greater influence on slope stability than those related to horizontal fractures.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Interdisciplinary Applications
Kiyonobu Kasama, Zentaro Furukawa, Lihang Hu
Summary: This study investigates the impact of spatial variability on the stability of a real 3D slope subjected to earthquakes through conventional Monte Carlo simulation and a stochastic response surface method. By combining a variance reduction method, the stochastic response surface method was shown to effectively reduce computational load and demonstrate good applicability in terms of slope reliability assessment.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Construction & Building Technology
Yuke Wang, Musen Han, Bin Li, Yukuai Wan
Summary: This paper proposes a new type of permeable polymer material for grouting anti-seepage reinforcement of dam slopes. The analysis shows that this method can greatly improve the stability of the slope, with good reinforcement effects for medium and low slopes.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Engineering, Geological
Bak Kong Low, Chia Weng Boon
Summary: This study explores the coupling of the first-order reliability method (FORM) and Monte Carlo simulations (MCS) in the probability-based design of reinforced rock slopes, and proposes the FORM-MCS-FORM design method for cases with multiple failure modes. For cases with a dominant single failure mode, importance sampling or the fast second-order reliability method (SORM) can be used instead of MCS. Additionally, MCS enhanced with FORM is essential for reinforced blocks with multiple sliding modes.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
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.
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
Computer Science, Interdisciplinary Applications
K. S. Yin, T. Xiao, H. Y. Luo, H. F. Zou, L. M. Zhang
Summary: Deep cement mixing (DCM) is an effective ground improvement technique that involves injecting dry cement or cement slurry into the ground. This study focuses on the spatial variation of unconfined compressive strength (UCS) in DCM clusters in a marine clay area. Variograms and random field modeling were used to analyze the spatial variability and autocorrelation structure of UCS data. The study compares the spatial magnitude, uniformity, and variability of site-wide UCS before and after the construction of DCM clusters.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Geosciences, Multidisciplinary
H. Y. Luo, L. M. Zhang, L. L. Zhang, J. He, K. S. Yin
Summary: Landslides are destructive hazard processes causing significant loss of life and damage to buildings. This review summarizes the progress in assessing building vulnerability to landslides over the past two decades and presents future needs. The review analyzes a literature dataset on vulnerability to landslides, presents building failure mechanisms and damage classification systems, and compares different types of building vulnerability models.
EARTH-SCIENCE REVIEWS
(2023)
Editorial Material
Engineering, Geological
Peng Cui, Manchao He, Paul Tapponnier, Limin Zhang, Zhenhong Li, Wenping Gong, Gordon G. D. Zhou, Jian Guo
ENGINEERING GEOLOGY
(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)