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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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WRAP-Stochastic-assessment-landslide-influence-zone-material-2022.pdf - Accepted Version - Requires a PDF viewer. Download (3346Kb) | Preview |
Official URL: https://doi.org/10.1061/(ASCE)GM.1943-5622.0002308
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 | ||||||||||
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| 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 |
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| 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: |
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| 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: |
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