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Stochastic assessment of landslide influence zone by material point method and generalized geotechnical random field theory

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Ma, Guotao, Rezania, Mohammad and Mousavi Nezhad, Mohaddeseh (2022) Stochastic assessment of landslide influence zone by material point method and generalized geotechnical random field theory. International Journal of Geomechanics, 22 (4). 04022002. doi:10.1061/(ASCE)GM.1943-5622.0002308 ISSN 1532-3641.

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Official URL: https://doi.org/10.1061/(ASCE)GM.1943-5622.0002308

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Abstract

In landslide analysis, reliable prediction of landslide’s influence zone is significantly difficult due to inherent heterogeneity of soils and their spatially varying geological properties. In this paper, a probabilistic framework is proposed to evaluate the landslide hazard zoning through prediction of their influence zone considering the effects of heterogeneous soil properties. Material point method is used to simulate the large deformations during landslide failure. The spatial variation in the shear strength parameters of soils at undrained conditions is modeled by random fields, which are discretized by Cholesky matrix decomposition method to incorporate the effects of the soil spatial heterogeneity on the post-failure deformations. Furthermore, a practical landslide hazard zoning is conducted to quantitively evaluate the level of disaster for facilities or structures located in the vicinity of the slope by using the exceedance probability of influence distance and runout distance. Five categories based on different thresholds of exceedance probability are used to visualize the area potentially affected by the landslide. To demonstrate the capability of the stochastic assessment framework, a benchmark example of heterogeneous clayey slope is simulated, and the associated hazard zone is predicted and discussed; it presents a practical procedure for improving the landslide influence zone prediction and provides new insights for hazard zoning.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QE Geology
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TE Highway engineering. Roads and pavements
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Landslides , Landslide hazard analysis, Landslide hazard analysis -- Mathematical models, Soil mechanics, Random fields
Journal or Publication Title: International Journal of Geomechanics
Publisher: American Society of Civil Engineers
ISSN: 1532-3641
Official Date: April 2022
Dates:
DateEvent
April 2022Published
27 January 2022Available
17 November 2021Accepted
22 December 2020Submitted
Volume: 22
Number: 4
Article Number: 04022002
DOI: 10.1061/(ASCE)GM.1943-5622.0002308
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): "This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://doi.org/10.1061/(ASCE)GM.1943-5622.0002308
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: © 2022 American Society of Civil Engineers
Date of first compliant deposit: 31 January 2022
Date of first compliant Open Access: 1 February 2022
Grant number: 899518
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
899518Research Fund for Coal and Steelhttp://dx.doi.org/10.13039/501100013213

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