Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling

X. Liu; Y. Wang

doi:10.3850/978-981-18-5184-1_MS-13-020-cd

Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling

X. Liu^*
, Y. Wang

^*Corresponding author for this work

Department of Architecture and Civil Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Rainfall-induced landslides are often a complicated multi-stage process, starting from triggering by rainfall infiltration, to landslide initiation, and post-failure large deformation of soils. Landslide risk is controlled by the whole process, because the rainfall infiltration and landslide initiation determine the landslide probability and the large deformation of soils often governs landslide consequences. However, previous probabilistic slope stability studies rarely modelled the whole landslide process from rainfall infiltration to large deformation of soils for quantitative risk assessment of landslides. This difficulty may be tackled by a random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling, which utilizes a finite element method for simulation of hydromechanical responses under rainfall infiltration and slope stability analysis. After a landslide is initiated, a two-phase MPM is used for simulating post-failure large deformation of soils. The RFE-MPM method is illustrated by a slope example. Results shown that the RFE-MPM with hydro-mechanical coupling properly estimates both landslide probability and post-failure consequences, and it is a suitable tool for quantitative risk assessment of rainfall-induced landslides. © 2022 ISRERM Organizers. Published by Research Publishing, Singapore.

Original language	English
Title of host publication	Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022)
Editors	Michael Beer, Enrico Zio, Kok-Kwang Phoon, Bilal M. Ayyub
Place of Publication	Singapore
Publisher	Research Publishing
Pages	387-391
ISBN (Print)	978-981-18-5184-1
DOIs	https://doi.org/10.3850/978-981-18-5184-1_MS-13-020-cd
Publication status	Published - 4 Sept 2022
Event	8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022) - Hannover, Germany Duration: 4 Sept 2022 → 7 Sept 2022 https://isrerm.org/

Publication series

Name	Proceedings of the International Symposium on Reliability Engineering and Risk Management, ISRERM

Conference

Conference	8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022)
Place	Germany
City	Hannover
Period	4/09/22 → 7/09/22
Internet address	https://isrerm.org/

Research Keywords

quantitative risk assessment
landslides
rainfall
material point method
large deformation

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Liu, X., & Wang, Y. (2022). Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling. In M. Beer, E. Zio, K.-K. Phoon, & B. M. Ayyub (Eds.), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022) (pp. 387-391). (Proceedings of the International Symposium on Reliability Engineering and Risk Management, ISRERM). Research Publishing. https://doi.org/10.3850/978-981-18-5184-1_MS-13-020-cd

Liu, X. ; Wang, Y. / Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling. Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022). editor / Michael Beer ; Enrico Zio ; Kok-Kwang Phoon ; Bilal M. Ayyub. Singapore : Research Publishing, 2022. pp. 387-391 (Proceedings of the International Symposium on Reliability Engineering and Risk Management, ISRERM).

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title = "Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling",

abstract = "Rainfall-induced landslides are often a complicated multi-stage process, starting from triggering by rainfall infiltration, to landslide initiation, and post-failure large deformation of soils. Landslide risk is controlled by the whole process, because the rainfall infiltration and landslide initiation determine the landslide probability and the large deformation of soils often governs landslide consequences. However, previous probabilistic slope stability studies rarely modelled the whole landslide process from rainfall infiltration to large deformation of soils for quantitative risk assessment of landslides. This difficulty may be tackled by a random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling, which utilizes a finite element method for simulation of hydromechanical responses under rainfall infiltration and slope stability analysis. After a landslide is initiated, a two-phase MPM is used for simulating post-failure large deformation of soils. The RFE-MPM method is illustrated by a slope example. Results shown that the RFE-MPM with hydro-mechanical coupling properly estimates both landslide probability and post-failure consequences, and it is a suitable tool for quantitative risk assessment of rainfall-induced landslides. {\textcopyright} 2022 ISRERM Organizers. Published by Research Publishing, Singapore.",

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booktitle = "Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022)",

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Liu, X & Wang, Y 2022, Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling. in M Beer, E Zio, K-K Phoon & BM Ayyub (eds), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022). Proceedings of the International Symposium on Reliability Engineering and Risk Management, ISRERM, Research Publishing, Singapore, pp. 387-391, 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022), Hannover, Lower Saxony, Germany, 4/09/22. https://doi.org/10.3850/978-981-18-5184-1_MS-13-020-cd

Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling. / Liu, X.; Wang, Y.
Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022). ed. / Michael Beer; Enrico Zio; Kok-Kwang Phoon; Bilal M. Ayyub. Singapore: Research Publishing, 2022. p. 387-391 (Proceedings of the International Symposium on Reliability Engineering and Risk Management, ISRERM).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling

AU - Liu, X.

AU - Wang, Y.

PY - 2022/9/4

Y1 - 2022/9/4

N2 - Rainfall-induced landslides are often a complicated multi-stage process, starting from triggering by rainfall infiltration, to landslide initiation, and post-failure large deformation of soils. Landslide risk is controlled by the whole process, because the rainfall infiltration and landslide initiation determine the landslide probability and the large deformation of soils often governs landslide consequences. However, previous probabilistic slope stability studies rarely modelled the whole landslide process from rainfall infiltration to large deformation of soils for quantitative risk assessment of landslides. This difficulty may be tackled by a random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling, which utilizes a finite element method for simulation of hydromechanical responses under rainfall infiltration and slope stability analysis. After a landslide is initiated, a two-phase MPM is used for simulating post-failure large deformation of soils. The RFE-MPM method is illustrated by a slope example. Results shown that the RFE-MPM with hydro-mechanical coupling properly estimates both landslide probability and post-failure consequences, and it is a suitable tool for quantitative risk assessment of rainfall-induced landslides. © 2022 ISRERM Organizers. Published by Research Publishing, Singapore.

AB - Rainfall-induced landslides are often a complicated multi-stage process, starting from triggering by rainfall infiltration, to landslide initiation, and post-failure large deformation of soils. Landslide risk is controlled by the whole process, because the rainfall infiltration and landslide initiation determine the landslide probability and the large deformation of soils often governs landslide consequences. However, previous probabilistic slope stability studies rarely modelled the whole landslide process from rainfall infiltration to large deformation of soils for quantitative risk assessment of landslides. This difficulty may be tackled by a random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling, which utilizes a finite element method for simulation of hydromechanical responses under rainfall infiltration and slope stability analysis. After a landslide is initiated, a two-phase MPM is used for simulating post-failure large deformation of soils. The RFE-MPM method is illustrated by a slope example. Results shown that the RFE-MPM with hydro-mechanical coupling properly estimates both landslide probability and post-failure consequences, and it is a suitable tool for quantitative risk assessment of rainfall-induced landslides. © 2022 ISRERM Organizers. Published by Research Publishing, Singapore.

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KW - large deformation

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T3 - Proceedings of the International Symposium on Reliability Engineering and Risk Management, ISRERM

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BT - Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022)

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PB - Research Publishing

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Liu X, Wang Y. Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling. In Beer M, Zio E, Phoon KK, Ayyub BM, editors, Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022). Singapore: Research Publishing. 2022. p. 387-391. (Proceedings of the International Symposium on Reliability Engineering and Risk Management, ISRERM). doi: 10.3850/978-981-18-5184-1_MS-13-020-cd

Quantitative risk assessment of rainfall-induced landslides using random finite element and material point methods (RFE-MPM) with hydro-mechanical coupling

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