Article
Engineering, Geological
Yuya Yamaguchi, Fumiyasu Makinoshima, Yusuke Oishi
Summary: Rainfall-induced landslides cause extensive damage to infrastructure and result in significant economic losses and human casualties. This study presents a numerical method using the coupled hydromechanical material point method (MPM) to simulate the entire process of rainfall-induced landslides, including both quasi-static and dynamic processes.
Article
Engineering, Geological
Kewei Feng, Duruo Huang, Gang Wang
Summary: A two-layer hydro-mechanically coupled material point method has been developed for simulating the behavior of unsaturated soils, showing its application in phenomena such as water infiltration, soil collapse, and rainfall-induced slope failure. Parametric studies indicate that soil cohesion, dilatancy, and friction angle play significant roles in slope failure mechanisms.
Article
Engineering, Geological
Sabatino Cuomo, Elena Benedetta Masi, Veronica Tofani, Mariagiovanna Moscariello, Guglielmo Rossi, Fabio Matano
Summary: The study combines transient seepage analysis, infinite slope stability model, and probabilistic analysis to evaluate both short-term and long-term slope stability, considering the calibration and simulation of rainfall data. The research demonstrates that within the observed landslide time range, the model can accurately identify areas of high failure probability, while long-term analysis reveals potential slope instability.
Article
Energy & Fuels
Wojciech T. Solowski, Seyedmohammadjavad Seyedan
Summary: The paper presents an improved Granular Material Point Method for unsaturated granular materials. It discusses the key processes occurring during unsaturated flows and proposes an algorithm for the method. Simulation results show that the proposed formulation leads to improved and different outcomes, highlighting the importance of considering partial saturation in material flow analysis. The paper also provides visual illustrations of the simulations through figures and videos.
GEOMECHANICS FOR ENERGY AND THE ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Wei-Lin Lee, Mario Martinelli, Chjeng-Lun Shieh
Summary: This study uses the material point method (MPM) to investigate the dynamic behavior of rainfall-induced landslides, showing the influence of rainfall intensity on the behavior of landslides during laboratory-scale simulations.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Energy & Fuels
Alba Yerro, Veronica Girardi, Mario Martinelli, Francesca Ceccato
Summary: This paper presents an overview of available MPM approaches for modeling unsaturated soils, discussing differences and similarities between different formulations. The study also examines the effect of partially saturated conditions on the critical time step in explicit numerical integration schemes.
GEOMECHANICS FOR ENERGY AND THE ENVIRONMENT
(2022)
Article
Engineering, Geological
Pasquale Marino, Giovanni Francesco Santonastaso, Xuanmei Fan, Roberto Greco
Summary: The study focuses on the triggering mechanism of shallow landslides on slopes covered with unsaturated shallow pyroclastic deposits in the mountains around Naples. It suggests that the temporary storage of water in a perched aquifer in the fractured bedrock may affect slope drainage, leading to landslide predisposing conditions. Physically based modeling indicates that different responses of soil and aquifer to precipitation, influenced by antecedent conditions, can play a key role in landslide triggering.
Article
Geosciences, Multidisciplinary
N. J. Finnegan, J. P. Perkins, A. L. Nereson, A. L. Handwerger
Summary: The research shows how unsaturated groundwater flow processes control the onset of seasonal landslide motion and the nearly instantaneous pressure transmission within the landslide body due to rainfall, providing insights into the dynamics of infiltration into unsaturated ground.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Engineering, Multidisciplinary
Wenjie Du, Qian Sheng, Xiaodong Fu, Jian Chen, Yongqiang Zhou
Summary: The study utilized the two-phase double-point material point method to simulate landslide-induced surges, verifying its reliability and effectiveness in accurately modeling different stages of surges. It also revealed the extension mechanism of landslide-surge disaster chains in both time and space, providing a reliable tool for the analysis and assessment of landslide-induced surge disasters.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2021)
Article
Environmental Sciences
Antonello Troncone, Luigi Pugliese, Enrico Conte
Summary: A simplified method for assessing slope stability due to rainfall is proposed in this study. The method predicts the probability of landslide occurrence based on mathematical models and known parameters, and its effectiveness is verified using real case studies.
Article
Engineering, Geological
Ruiliang Zhang, Xinhua Xue, Chubing Deng
Summary: This study presents two approaches (i.e., the material point method (MPM) and gene expression programming (GEP)) for prediction of landslide runout. The modified MPM was verified through collapse and physical model tests. Sensitivity analysis was performed to investigate the importance of the softening parameters. A prediction equation based on GEP achieved a coefficient of determination of 0.8825. The effects of various factors on the maximum horizontal distance were quantitatively analyzed. The simulation and prediction results of MPM and GEP were compared and found to be within reasonable ranges with errors of 14.1% and 10.6%, respectively.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Engineering, Geological
Fengyuan Wu, Wei Sun, Xinchao Li, Yongping Guan, Manman Dong
Summary: This study investigates the dynamic process of soil landslides using the material point method (MPM). A friction algorithm based on MPM is developed, considering the pore water pressure for calculating basal friction. A large-scale debris flow experiment validates the effectiveness of MPM in simulating soil landslides. The calculated depths of debris flow using MPM show consistency with experimental results. The effects of basal friction angle and internal friction angle on debris flow depths are discussed. Additionally, a simulated landslide case using MPM is consistent with measured results, with analysis of horizontal and vertical velocity, velocity direction, and kinetic energy.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2023)
Article
Multidisciplinary Sciences
Hao Wang, Rui Chen, Anthony Kwan Leung, Ankit Garg
Summary: This study proposes a new method to trace the wetting front and investigates the hydrological responses of unsaturated soils with dwarf mondo grass to early-peak rainfall. Compared to uniform rainfalls, early-peak rainfalls result in earlier ponding and overflow onset, as well as higher overflow velocity and slightly more total overflow amount. Vegetation delays ponding/overflow generation and reduces total overflow drainage by enhancing the infiltration of surface soil. The root system also affects the water content and structure of the soil.
Article
Geosciences, Multidisciplinary
Gabriele Frigerio Porta, Mark Bebbington, Xun Xiao, Geoff Jones
Summary: When assessing the risk of landslides, it is important to consider the interactions between primary triggering events such as earthquakes and rainfall, rather than focusing solely on individual mechanisms. Elaborate models with interactions are needed to capture direct or indirect triggering of secondary hazards.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Chemistry, Physical
Qingzhao Zhang, Zejun Luo, Ying Chen, Zhen Wang
Summary: Basalt platforms are widely distributed in China and frequently experience landslides. Understanding the deformation and failure behaviors of basalt slopes is crucial to mitigate the damage caused by landslides. In this study, slope model tests were conducted on the Pengshan Landslide in Zhejiang Province, with real-time monitoring of pore pressure, earth pressure, and slope deformation. The results reveal that rainfall intensity and the thickness of a weak interlayer significantly affect slope stability. The study also highlights that local failure is the starting point of damage on basalt platform slopes, with the slope foot being the most susceptible to sliding. Additionally, increased rainfall intensity and weak interlayer thickness accelerate slope deformation and failure.
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
Engineering, Geological
Xin Liu, Yu Wang, Raymond C. H. Koo, Julian S. H. Kwan
Summary: This study proposes a practical framework for developing a slope digital twin and applies it to predict rainfall-induced slope instability. By combining monitoring data and slope survival records, the updated model improves the prediction accuracy.
ENGINEERING GEOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Xin Liu, Yu Wang
Summary: Although many countries and regions have adopted risk assessment and management methods for landslide risk mitigation, the conventional factor of safety method is still widely used in slope engineering practice. This study proposes an innovative method that integrates slope stability analysis, rainfall infiltration, and annual exceedance probability to assess the annual failure probability of a specific slope. The method provides a quantitative and convenient approach for geotechnical practitioners to evaluate landslide risk.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Engineering, Geological
Xin Liu, Yu Wang
Summary: In the assessment and management of rainfall-induced landslides, the probability of slope failure is often used as an index to measure landslide risk. This study provides analytical solutions to assess the probability of slope failure caused by rainfall events, annual probability of slope failure induced by rainfall, and slope failure probability over multiple years. The proposed method utilizes a bivariate distribution of rainfall intensity and duration and a critical rainfall pattern curve to represent a slope's performance under different rainfall patterns. The method is validated using a cut slope in South Korea, showing consistent results with observed slope failures.
ENGINEERING GEOLOGY
(2023)
Correction
Engineering, Geological
Xin Liu, Yu Wang
ENGINEERING GEOLOGY
(2023)
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
Computer Science, Interdisciplinary Applications
Xin Liu, Yu Wang, Anthony Kwan Leung
Summary: This paper proposes a novel probabilistic back analysis method that explicitly models the rainfall triggering mechanism for a slope failure. By incorporating both slope failure and survival records, uncertainties in soil strength and hydraulic parameters can be effectively reduced.
COMPUTERS AND GEOTECHNICS
(2023)