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author:

Lin, Chuan (Lin, Chuan.) [1] (Scholars:林川) | Pastor, Manuel (Pastor, Manuel.) [2] | Li, Tongchun (Li, Tongchun.) [3] | Liu, Xiaoqing (Liu, Xiaoqing.) [4] | Lin, Chaoning (Lin, Chaoning.) [5] | Qi, Huijun (Qi, Huijun.) [6] | Sheng, Taozhen (Sheng, Taozhen.) [7]

Indexed by:

EI Scopus SCIE

Abstract:

Landslide is a complicated natural disaster that can be divided into multiple stages such as initiation and propagation. Researchers have been attempting to reveal the characteristics of each stage by practicing various modelling methods. This paper attempts to discover whether the combination of two popular approaches, including the Partitioned Finite Elements and Interface Elements method (PFE/IE) and the depth-integrated SPH model would bear a more reliable estimation. In the first stage, the PFE/IE method is practiced to investigate the triggering of slopes. The outcome from the first stage, including the contact force and the material parameters under limit state, are then utilized as the initial condition in the analysis of the subsequent propagation stage. In the propagation stage, the depth-integrated SPH model is used to explore the landslide propagation. Consequently, the SPH model is capable of dealing with large deformation problems that occur during the landslide movement process. Two benchmark tests are performed to verify the accuracy and feasibility of applying the hybrid model to study the landslide initiation. After the justification of the PFE/IE approach, it is then combined with the SPH model by an appropriate interpolation method. The presented PFE/IE-SPH joint approach is employed to evaluate the safety margin of a practical slope, as well as the potential effect region if the landslide occurs. The simulated result from the joint approach demonstrates its capability of providing references for the mitigation and protection measures.

Keyword:

Depth-integrated models Finite element model Landslides Localized discontinuous deformation SPH

Community:

  • [ 1 ] [Lin, Chuan]Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China
  • [ 2 ] [Li, Tongchun]Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China
  • [ 3 ] [Liu, Xiaoqing]Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China
  • [ 4 ] [Lin, Chaoning]Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China
  • [ 5 ] [Qi, Huijun]Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China
  • [ 6 ] [Sheng, Taozhen]Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China
  • [ 7 ] [Lin, Chuan]Fuzhou Univ, Coll Civil Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 8 ] [Pastor, Manuel]Univ Politecn Madrid, Dept Appl Math, ETSI Caminos, Madrid, Spain

Reprint 's Address:

  • [Li, Tongchun]Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China

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Source :

COMPUTERS AND GEOTECHNICS

ISSN: 0266-352X

Year: 2019

Volume: 114

3 . 8 1 8

JCR@2019

5 . 3 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:162

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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