Article
Green & Sustainable Science & Technology
Pisanu Chuaiwate, Saravut Jaritngam, Pattamad Panedpojaman, Nirut Konkong
Summary: This article investigates the influence of uncertain soil parameters on slope stability problems using the probability method. It finds that the inherent spatial variability of soil properties and its impact on slope safety factors are the most important soil instabilities. The study combines randomly selected uncertain parameters with traditional analysis using Bishop's simple methodology and Monte Carlo simulation to analyze the minimum safety factor and critical slip surface of slope stability. The results recommend new soil strength parameters for construction. Additionally, probability analysis identifies insufficient understanding of groundwater level distribution and the assumption of uniform distribution increasing the probability of failure.
Article
Engineering, Geological
Chwen-Huan Wang, Li Fang, Dave Ta-Teh Chang, Feng-Chi Huang
Summary: This study develops a back-analysis approach to identify prior landslide events and assess future slope performance. Engineers can use this approach to project slope performance based on anticipated rainfall accumulation. By simulating four typhoon events, probabilistic distributions of the safety factor were generated and different performance levels were established based on accumulated rainfall. Comparisons with measured data validate the suitability of this approach for future rainfall events.
ENGINEERING GEOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Longlong Chen, Wengang Zhang, Fuyong Chen, Dongming Gu, Lin Wang, Zhenyu Wang
Summary: Anisotropic spatial variability of soil properties has a significant influence on slope failure probability and failure characteristics. The directional angles of scales of fluctuation and the cross-correlation between soil properties are the key factors. General anisotropic spatial variability has a stronger effect on slope reliability compared to transverse anisotropic spatial variability.
GEOSCIENCE FRONTIERS
(2022)
Article
Engineering, Geological
Enrico Soranzo, Carlotta Guardiani, Wei Wu
Summary: This study investigates tunnel face stability using soft computing techniques, training models such as artificial neural networks to predict face support pressure, with the artificial neural network showing superior performance. Through Monte Carlo simulations, the failure probability is calculated for statistically distributed samples, allowing for reliable assessment of tunnel face stability and accurate estimation of support pressure.
Article
Engineering, Multidisciplinary
Zhengran Lu, Chao Guo
Summary: The fastener, as a core component of the formwork support system, has a significant influence on the system's bearing capacity. The increase in failure probability of the fastener leads to a significant decrease in the magnitude and probability of the decrease in the bearing capacity. Deterministic analysis based on the integrity of all fasteners is impractical and unsafe.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Engineering, Geological
Jian Ji, Chen-Wei Wang, Yufeng Gao, Limin Zhang
Summary: Earthquakes often trigger landslides and other natural disasters, impacting human life and property significantly. Researchers have found that soil shear strength and Arias intensity play important roles in seismic displacement, and have established a probabilistic distribution to represent the uncertainty of seismic slope displacement.
CANADIAN GEOTECHNICAL JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Jian Ji, Guoyang Fu, Qing Lu
Summary: This paper presents an efficient method called weighted low-discrepancy samplings (WLDS) for system reliability analysis of geotechnical examples. The method combines the low-discrepancy sequences (LDS) sampling technique with probabilistic weighting of the samples, improving the efficiency of probabilistic weighting in calculating the probability of failure. The method also captures the most probable system failure points (MPPs) and incorporates correlated random variables in soils using the Nataf transformation.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Green & Sustainable Science & Technology
Md Jamilur Rahman, Jung Chan Choi, Manzar Fawad, Nazmul Haque Mondol
Summary: A reliable assessment of fault stability is crucial for safe CO2 storage, especially in fault-bounded structures. In this study, the probability of Vette fault failure was evaluated using a stochastic analytical approach. The research found that the Vette fault system has a potential failure probability range between 10^-3 to 10^-4, indicating it may act as a potential barrier during CO2 injection into the Alpha structure.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2021)
Article
Engineering, Aerospace
Dooyoul Lee, Hwanjeong Cho, Min-Saeng Kim, Kybeom Kwon
Summary: This study proposes a framework for the probabilistic risk analysis of aircraft self-collisions, focusing on military aircraft with external stores. A case study involving an ejected gun shell is analyzed, taking into account uncertain factors such as random shell rotation. The probability of collision and corresponding risks are evaluated using a Monte Carlo simulation and probabilistic ballistic model.
Article
Computer Science, Interdisciplinary Applications
Xin Liu, Yu Wang
Summary: This study develops a method based on Monte Carlo simulation to assess the annual slope failure probability (PFA) considering both soil spatial variability and rainfall uncertainty. Results show that the semi-analytical and Monte Carlo simulation-based methods produce consistent PFA. When the variability of soil properties is negligible, PFA is dominated by rainfall uncertainty and converges to a constant failure probability.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Environmental Sciences
Mohammad Mehdi Riyahi, Hossien Riahi-Madvar
Summary: Detention rockfill dams are important in flood control projects due to their minimal technical requirement, low cost, minimal environmental side effects, and self-automotive operation process. However, reliable design of these dams is challenging due to the complexity of Non-Darcian flow interactions with stability and uncertainties of dam. This study examines the effects of uncertainties in probabilistic design of these dams and proposes a reliable design framework with a focus on stability analysis.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(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
Engineering, Geological
Chao Li, Gongmao Wang, Jianjian He, Yubing Wang
Summary: Earthquake-triggered landslides can cause significant losses and therefore, seismic landslide hazard maps are important for land use planning and hazard reduction in active tectonic areas. This study proposes a comprehensive probabilistic seismic landslide hazard mapping approach that considers slope properties and displacement prediction uncertainties. The results of the proposed approach show smaller hazardous zones compared to deterministic analyses, and the predicted hazardous zones are sensitive to the resolution of the digital elevation model and probability distributions of soil properties.
ENGINEERING GEOLOGY
(2022)
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
Engineering, Geological
Ranjan Kumar, Arka Jyoti Das, Prabhat Kumar Mandal, Rana Bhattacharjee, Subhashish Tewari
Summary: This paper presents a probabilistic approach to analyze the stability of coal pillars considering stable and failed cases in Indian coalfields. By fitting probability distributions and conducting Monte Carlo simulations, the stability of pillars is assessed and failure probabilities are estimated.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2021)
Article
Engineering, Geological
C. S. Sandeep, K. Senetakis, D. Cheung, C. E. Choi, Y. Wang, M. R. Coop, C. W. W. Ng
Summary: The coefficient of restitution (COR) plays an important role in the numerical simulation of granular flows. A new micromechanical impact loading apparatus was used to study COR and energy loss in different grain and base block combinations. The experiments showed variations in COR values, especially with impacts between materials of different composite Young's modulus. Natural sand grains exhibited greater scatter in COR values due to individual variations in elastic and morphological characteristics.
CANADIAN GEOTECHNICAL JOURNAL
(2021)
Article
Engineering, Geological
Xiaogang Qin, Yu Wang, Cuiwei Fu
Summary: This study investigates the kinematic behavior of bell-spigot jointed ductile iron pipes and its influence on joint sealing capacity under abrupt transverse ground movements. Through finite element analysis and Monte Carlo simulation, a modified joint kinematic solution is proposed and a reliability assessment procedure for joint sealing capacity is developed. Sensitivity analysis reveals the impact of uncertainties on joint sealing capacity. The proposed method helps evaluate the joint sealing capacity of pipes when encountering sudden ground movements.
CANADIAN GEOTECHNICAL JOURNAL
(2022)
Article
Engineering, Civil
Zheng Guan, Yu Wang
Summary: The construction of joint probability distribution for correlated geotechnical properties is often challenging due to the heterogeneity of properties across sites and sparse, correlated measurements in geotechnical practice. This paper proposes a non-parametric and data-driven approach for characterizing site-specific non-Gaussian multivariate joint probability distribution without pre-selection of marginal probability distribution type, which has shown good performance in both simulated and real data scenarios. The method does not explicitly model spatial variability and assumes independent measurement data along depth, requiring measurement records to be sufficiently spaced apart to meet this assumption.
Article
Computer Science, Interdisciplinary Applications
Zheng Guan, Yu Wang
Summary: In engineering practice, a simplified procedure based on cone penetration test (CPT) results is commonly used to evaluate soil liquefaction potential. However, this procedure is semi-empirical and involves significant uncertainties, particularly in spatial interpolation of limited CPT soundings. The spatial variability of soil properties also has a remarkable effect on soil liquefaction.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Materials Science, Multidisciplinary
Nallala S. C. Reddy, Kostas Senetakis, Yu Wang
Summary: This study introduces a probabilistic approach for analyzing and identifying the most suitable models of tangential force-displacement law of sand grain contacts, outperforming traditional methods in contact mechanics modeling. The use of objective criteria in model selection and consideration of steady-state sliding or micro-slipping at grain contacts are highlighted as important factors in medium and large deformation problems.
Article
Engineering, Civil
Adeyemi Emman Aladejare, Victor Oluwatosin Akeju, Yu Wang
Summary: This study introduces a Bayesian approach for characterizing the correlation between uniaxial compressive strength (UCS) and Youngs' modulus (E) of rock. The approach does not require the use of an empirical model and is data-driven, using limited UCS and E data pairs and their prior information to generate samples for analysis of marginal statistics, distributions, and correlation. The results show that the approach is effective in characterizing the correlation and can be used in sites with limited data.
TRANSPORTATION GEOTECHNICS
(2022)
Editorial Material
Engineering, Geological
Yu Wang, Wengang Zhang, Xiaohui Qi, Jianye Ching
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Engineering, Geological
Yu Wang, Chao Shi, Xu Li
Summary: The study uses a Bayesian supervised machine learning method to automatically generate high-resolution subsurface geological cross-sections, avoiding the uncertainties caused by manual simplification of stratigraphic boundaries, which is crucial for slope stability analysis.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Engineering, Geological
Yu Wang, Yue Hu, Kok-Kwang Phoon
Summary: This paper provides a state-of-the-art review of non-parametric modelling and simulation of spatiotemporally varying geo-data under the framework of spectral representation or compressive sensing/sampling (CS), discussing the similarities and differences between the two methods and emphasizing the advantages of CS-based methods.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2022)
Article
Engineering, Geological
Zheng Guan, Yu Wang
Summary: One of the major risks during an earthquake is liquefaction in loose saturated sand deposits. In situ tests like standard penetration tests (SPTs) are commonly used to estimate liquefaction-induced deformation, but they provide limited information. The proposed method in this study aims to characterize the spatial variation of ground deformation using limited SPTs data.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
(2022)
Article
Engineering, Industrial
Peiping Li, Yu Wang
Summary: This paper combines adaptive Bayesian compressive sensing (ABCS) with Monte Carlo simulation (MCS) and proposes an active learning reliability analysis method - ABCS-MCS. Compared with traditional methods, ABCS-MCS has better performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Geological
Zheng Guan, Yu Wang, Tengyuan Zhao
Summary: Characterizing the spatial distribution of soil liquefaction potential is crucial for assessing liquefaction-related hazards. However, limitations in time, cost, and access to subsurface space often result in limited data points for measuring soil liquefaction potential. This study proposes a smart sampling strategy using information entropy and Bayesian compressive sampling to determine the minimum number and optimal locations of cone penetration tests (CPTs) for reliable liquefaction assessment.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2022)
Article
Engineering, Civil
Xin Liu, Zi-Jun Cao, Dian-Qing Li, Yu Wang
Summary: Estimating the failure probability of large-series systems is a challenge. This study proposes an efficient method called adaptive Monte Carlo simulation (MCS) that estimates the system failure probability by iteratively identifying failure samples. The results show that the adaptive MCS has similar results to direct MCS but with lower computational costs.
ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Zheng Guan, Yu Wang
Summary: This study proposes a fully probabilistic framework for delineating the spatial distribution of soil liquefaction potential in a vertical cross-section, and quantifying the liquefaction probability. The sensitivity study shows that the liquefaction probability of the cross-section increases with the target design life of the structure.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Construction & Building Technology
Chao Shi, Yu Wang
Summary: In this study, a data-driven and deep learning method called IC-XGBoost3D is proposed for building a 3D geological model from limited site-specific boreholes and 2D training images reflecting prior geological knowledge. The method efficiently generates an anisotropic 3D geological model with high prediction accuracy and provides quantitative evaluation of associated stratigraphic uncertainty. Effects of irregular borehole spacing and single training image on simulation performance are also investigated.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2022)
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)