Intelligent calibration method for microscopic parameters of soil‒rock mixtures based on measured landslide accumulation morphology
C Ma, L Chen, K Yang, J Yang, Y Tu… - Computer Methods in …, 2024 - Elsevier
The discrete element method (DEM) has been widely used in landslide research. However,
selecting microscopic parameters is complicated due to the diversity and complexity of …
selecting microscopic parameters is complicated due to the diversity and complexity of …
Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method
Y Tang, L Xie, Y Chen, S Sun, W Zha, H Lin - Computers & Geosciences, 2023 - Elsevier
The slip surface is an important structure for analyzing the landslide mechanism, and it will
be deformed by the traction and shear of the slide mass. For the landslide accident without …
be deformed by the traction and shear of the slide mass. For the landslide accident without …
Landslide displacement prediction based on multiple data-driven model methods
YAN Hao, LI Shaohong, WU Lizhou - 工程地质学报, 2019 - gcdz.org
Slope displacement is a macroscopic manifestation of landslide evolution. Analyzing and
predicting landslide displacement are of great significance for disaster prevention and …
predicting landslide displacement are of great significance for disaster prevention and …
Investigation of motion characteristics of catastrophic landslide using material point method and gene expression programming
R Zhang, X Xue, C Deng - International Journal of Rock Mechanics and …, 2023 - Elsevier
This study presents two approaches (ie, the material point method (MPM) and gene
expression programming (GEP)) for prediction of landslide runout. The MPM was modified …
expression programming (GEP)) for prediction of landslide runout. The MPM was modified …
Numerical study of the runout behavior of the Kamenziwan landslide in the Three Gorges Reservoir region, China
The evaluation of landslide runout behavior plays a vital role in the risk assessment of
landslides. In this study, the runout behavior of a landslide that occurred on December 10 …
landslides. In this study, the runout behavior of a landslide that occurred on December 10 …
[HTML][HTML] Prediction of landslide displacement with dynamic features using intelligent approaches
Y Zhang, J Tang, Y Cheng, L Huang, F Guo… - International Journal of …, 2022 - Elsevier
Landslide displacement prediction can enhance the efficacy of landslide monitoring system,
and the prediction of the periodic displacement is particularly challenging. In the previous …
and the prediction of the periodic displacement is particularly challenging. In the previous …
Runout prediction and deposit characteristics investigation by the distance potential-based discrete element method: the 2018 Baige landslides, Jinsha River, China
J Mao, X Liu, C Zhang, G Jia, L Zhao - Landslides, 2021 - Springer
Runout prediction and deposit characteristics investigation for the long runout rock
landslides are challenging and interesting problems nowadays. On a practical level, the …
landslides are challenging and interesting problems nowadays. On a practical level, the …
Dynamic Analysis of the High‐Speed and Long‐Runout Landslide Movement Process Based on the Discrete Element Method: A Case Study of the Shuicheng …
On July 23, 2019, a high‐speed and long‐runout landslide occurred in Jichang Town,
Shuicheng County, Guizhou Province, China, causing 42 deaths and 9 missing. This paper …
Shuicheng County, Guizhou Province, China, causing 42 deaths and 9 missing. This paper …
A novel parameter inversion method for an improved DEM simulation of a river damming process by a large-scale landslide
WJ Xu, Q Xu, GY Liu, HY Xu - Engineering Geology, 2021 - Elsevier
Abstract The Discrete Element Method (DEM) is one of the most common numerical
methods employed for the study of landslide disasters. Herein, this study proposes a method …
methods employed for the study of landslide disasters. Herein, this study proposes a method …
Comprehensive monitoring of talus slope deformation and displacement back analysis of mechanical parameters based on back-propagation neural network
Landslides are regarded as significant geological hazards across the world, causing serious
economic losses and casualties. The understanding on deformation characteristics and …
economic losses and casualties. The understanding on deformation characteristics and …