3D Simulation of Debris Flows with the Coupled Eulerian–Lagrangian Method and an Investigation of the Runout DOI Creative Commons
Haoding Xu, Xuzhen He, Feng Shan

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(16), P. 3493 - 3493

Published: Aug. 13, 2023

In landslide risk management, it is important to estimate the run-out distance of landslides (or debris flows) such that consequences can be estimated. This research presents an innovative array dimensionless equations effectively distances, supported by both experimental data and numerical simulations. We employ coupled Eulerian–Lagrangian (CEL) method confront challenges presented in large deformations during landslides. The soil modelled using Mohr–Coulomb model, failure cohesionless slopes (e.g., sand slopes) studied. simulation results are used study characteristics flows distances. suggest a normalized introduce new scaling relationships for under different conditions as plane angles material properties. granular scales compared directly with this law. validated data. Our analysis reveals contingent on initial geometry, angle, An increase volume angle contribute distance, while rise friction causes decrease. case landslides, depends properties slope angle. leads corresponding distance.

Language: Английский

MPM-based mechanism and runout analysis of a compound reactivated landslide DOI
Kun He,

Chuanjie Xi,

Bo Liu

et al.

Computers and Geotechnics, Journal Year: 2023, Volume and Issue: 159, P. 105455 - 105455

Published: April 11, 2023

Language: Английский

Citations

21
Probabilistic back analysis of reservoir landslide considering hydro-mechanical coupled observations DOI
Yang Xue, Fasheng Miao, Jingze Li

et al.

Computers and Geotechnics, Journal Year: 2024, Volume and Issue: 176, P. 106798 - 106798

Published: Oct. 1, 2024

Language: Английский

Citations

4
Continous–discontinous analysis of an unstable slope: evolution of damage zones and potential influencing areas DOI Creative Commons
Yiping Dai,

Shaokai Li,

Yiming Zhang

et al.

npj natural hazards., Journal Year: 2025, Volume and Issue: 2(1)

Published: March 4, 2025

Language: Английский

Citations

0
Machine Learning in the Stochastic Analysis of Slope Stability: A State-of-the-Art Review DOI Creative Commons
Haoding Xu, Xuzhen He, Feng Shan

et al.

Modelling—International Open Access Journal of Modelling in Engineering Science, Journal Year: 2023, Volume and Issue: 4(4), P. 426 - 453

Published: Oct. 1, 2023

In traditional slope stability analysis, it is assumed that some “average” or appropriately “conservative” properties operate over the entire region of interest. This kind deterministic conservative analysis often results in higher costs, and thus, a stochastic considering uncertainty spatial variability was developed to reduce costs. past few decades, machine learning has been greatly extensively used particularly as surrogate models improve computational efficiency. To better summarize current application future research, this paper reviews 159 studies supervised published 20 years. The achievements methods are summarized from two aspects—safety factor prediction classification. Four potential research challenges suggestions also given.

Language: Английский

Citations

8
Investigating the Number of Monte Carlo Simulations for Statistically Stationary Model Outputs DOI Creative Commons

Jiahang Zhang,

Shengai Cui

Axioms, Journal Year: 2023, Volume and Issue: 12(5), P. 481 - 481

Published: May 16, 2023

The number of random fields required to capture the spatial variability soil properties and their impact on performance geotechnical systems is often varied. However, obtain higher-order statistical moments model outputs has not yet been studied. This research aims investigate Monte Carlo simulations needed achieve stationary statistics a pore pressure head in an unsaturated slope under steady-state infiltration. study recommends using at least 500 samples for probabilistic analysis engineering models. A more conservative choice up second-moment 1000 samples. reveals significant variations skewness, which become all mesh grids when exceeds 15,000. Kurtosis stabilizes only reaches 25,000. zone less uncertain. Additionally, probability density function follows leptokurtic distribution.

Language: Английский

Citations

6
A HYBRID FRACTIONAL-DERIVATIVE AND PERIDYNAMIC MODEL FOR WATER TRANSPORT IN UNSATURATED POROUS MEDIA DOI
Yuanyuan Wang, HongGuang Sun, Tao Ni

et al.

Fractals, Journal Year: 2023, Volume and Issue: 31(07)

Published: Jan. 1, 2023

Richards’ equation is a classical differential describing water transport in unsaturated porous media, which the moisture content and soil matrix depend on spatial derivative of hydraulic conductivity potential. This paper proposes nonlocal model peridynamic formulation replace temporal terms. Peridynamic utilizes integration to describe path-dependency, so fast diffusion process media can be captured, while Caputo accurately describes sub-diffusion phenomenon caused by fractal nature heterogeneous media. A one-dimensional problem with constant permeability coefficient first addressed. Convergence studies parameters are carried out. The excellent agreement between numerical analytical solutions validates proposed for its accuracy parameter stability. Subsequently, wetting two building materials simulated. comparison results experimental observations further demonstrates capability phenomena

Language: Английский

Citations

2
A material point method analysis of failure mechanism and kinematic behavior of rainfall-induced landslide DOI
Shuhong Wang,

Meaza Girma Demisa,

Bowen Han

et al.

Natural Hazards, Journal Year: 2024, Volume and Issue: unknown

Published: July 9, 2024

Language: Английский

Citations

0
Continous-discontinous analysis of an unstable slope: evolution of damage zones and potential influencing areas DOI Creative Commons
Yiping Dai,

Shaokai Li,

Yiming Zhang

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 16, 2024

Abstract This study focuses on a slope located in Nanjing, China, which has been continuously deforming since 2003. With numerical tool continuum-discontinuum element method (CDEM) built hybrid finite-discrete framework, the damage evolutions of were simulated and its potential influencing areas predicted. In analysis, seepage model was used to assess current state considering hydro-mechanical coupling. The strength reduction factor safety location shape unsafety blocks. According results stability particle flow developed provide impact landslide. show very high kinetic energy landslide can move far away cause blockage national highway nearby. Therefore, it is suggested adopt comprehensive proactive defense measures ensure people's lives property.

Language: Английский

Citations

0
3D Simulation of Debris Flows with the Coupled Eulerian–Lagrangian Method and an Investigation of the Runout DOI Creative Commons
Haoding Xu, Xuzhen He, Feng Shan

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(16), P. 3493 - 3493

Published: Aug. 13, 2023

In landslide risk management, it is important to estimate the run-out distance of landslides (or debris flows) such that consequences can be estimated. This research presents an innovative array dimensionless equations effectively distances, supported by both experimental data and numerical simulations. We employ coupled Eulerian–Lagrangian (CEL) method confront challenges presented in large deformations during landslides. The soil modelled using Mohr–Coulomb model, failure cohesionless slopes (e.g., sand slopes) studied. simulation results are used study characteristics flows distances. suggest a normalized introduce new scaling relationships for under different conditions as plane angles material properties. granular scales compared directly with this law. validated data. Our analysis reveals contingent on initial geometry, angle, An increase volume angle contribute distance, while rise friction causes decrease. case landslides, depends properties slope angle. leads corresponding distance.

Language: Английский

Citations

1