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author:

Lin, C. (Lin, C..) [1] (Scholars:林川) | Lin, Y. (Lin, Y..) [2] | Su, Y. (Su, Y..) [3] (Scholars:苏燕) | Pan, Y. (Pan, Y..) [4] | Gao, X. (Gao, X..) [5]

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Scopus

Abstract:

Landslide geological disasters, common and worldwide, feature intermittency and enormous destructive power. An effective numerical model for such disasters helps formulate the targeted prevention and control strategies of landslides. Focusing on the particle flow characteristics of landslide movement, this paper derives an expression of the dynamic friction coefficient of shallow landslides based on the μ(I) model, and constructs a corresponding framework for solutions using the Smoothed Particle Hydrodynamics (SPH) method. We examine the significant impact of particle fragmentation on landslide movement, and derive a relationship of its basal frictional force versus grain distribution to improve the model by applying the particle fragmentation law based on its potential of destruction. This model is verified against two previous studies in literature-classical three-dimensional slope model experiments, along with a sensitivity analysis on its parameters related to particle fragmentation effects, thus laying a basis for further study of landslide disaster prevention and control. © 2024 Tsinghua University. All rights reserved.

Keyword:

landslide particle fragmentation smoothed particle hydrodynamics (SPH) μ(I) model

Community:

  • [ 1 ] [Lin C.]Civil Engineering College, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Lin Y.]Civil Engineering College, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Su Y.]Civil Engineering College, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Pan Y.]Civil Engineering College, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Gao X.]State Grid Fujian Economic Research Institute, Fuzhou, 350013, China

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Source :

Journal of Hydroelectric Engineering

ISSN: 1003-1243

Year: 2024

Issue: 7

Volume: 43

Page: 61-72

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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