Peridynamics-based large-deformation simulations for near-fault landslides considering soil uncertainty

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  • Wuhan University
  • University of California at Berkeley
  • Wuhan University of Technology
  • University of Liverpool
  • Tongji University
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Original languageEnglish
Article number106128
Number of pages14
JournalComputers and geotechnics
Volume168
Early online date3 Feb 2024
Publication statusPublished - Apr 2024

Abstract

Landslides are widely acknowledged as among the most prevalent natural disasters. Peridynamics (PD), a mesh-free computational method, offers distinctive advantages in circumventing mesh distortion issues. However, limited attempts to employ PD in landslide simulation. Utilizing the features of non-ordinary state-based peridynamics (NOSBPD), we propose a computational method to analyze the entire process of slope run-out. Moreover, the occurrence and progression of landslides are notably affected by soil strength uncertainties. Hence, a coupling procedure is proposed to integrate random fields with NOSBPD, investigating the impact of spatial variability in soil strength on landslides. Results indicate that considering soil heterogeneity leads to a 12% increase in run-out distance compared to homogeneous soil analyses. This highlights the significance of accounting for soil spatial variability to avoid underestimating landslide run-out distances. Additionally, this study compares the influence of ground motion types containing non-pulse ground motions and pulse-like ground motions (PLGMs) on entire landslide process. The findings suggest that landslides under PLGMs exhibit larger run-out distances and demonstrate a more concentrated spatial distribution, indicating higher susceptibilities to landslides under PLGMs. Lastly, we explored the interaction of two uncertainty sources on landslides. The findings can guide engineers in implementing assessments of potential uncertainties associated with landslides.

Keywords

    Landslide, Large-deformation simulation, Peridynamics, Pulse-like ground motion, Run-out assessment, Spatial variability

ASJC Scopus subject areas

Cite this

Peridynamics-based large-deformation simulations for near-fault landslides considering soil uncertainty. / Wang, Ruohan; Li, Shaofan; Liu, Yong et al.
In: Computers and geotechnics, Vol. 168, 106128, 04.2024.

Research output: Contribution to journalArticleResearchpeer review

Wang R, Li S, Liu Y, Hu X, Lai X, Beer M. Peridynamics-based large-deformation simulations for near-fault landslides considering soil uncertainty. Computers and geotechnics. 2024 Apr;168:106128. Epub 2024 Feb 3. doi: 10.1016/j.compgeo.2024.106128
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abstract = "Landslides are widely acknowledged as among the most prevalent natural disasters. Peridynamics (PD), a mesh-free computational method, offers distinctive advantages in circumventing mesh distortion issues. However, limited attempts to employ PD in landslide simulation. Utilizing the features of non-ordinary state-based peridynamics (NOSBPD), we propose a computational method to analyze the entire process of slope run-out. Moreover, the occurrence and progression of landslides are notably affected by soil strength uncertainties. Hence, a coupling procedure is proposed to integrate random fields with NOSBPD, investigating the impact of spatial variability in soil strength on landslides. Results indicate that considering soil heterogeneity leads to a 12% increase in run-out distance compared to homogeneous soil analyses. This highlights the significance of accounting for soil spatial variability to avoid underestimating landslide run-out distances. Additionally, this study compares the influence of ground motion types containing non-pulse ground motions and pulse-like ground motions (PLGMs) on entire landslide process. The findings suggest that landslides under PLGMs exhibit larger run-out distances and demonstrate a more concentrated spatial distribution, indicating higher susceptibilities to landslides under PLGMs. Lastly, we explored the interaction of two uncertainty sources on landslides. The findings can guide engineers in implementing assessments of potential uncertainties associated with landslides.",
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author = "Ruohan Wang and Shaofan Li and Yong Liu and Xuan Hu and Xin Lai and Michael Beer",
note = "Funding Information: This research is supported by the National Natural Science Foundation of China (Grant No. U22A20596 ) and the Natural Science Foundation Innovation Group Project of Hubei Province, China (Grant No. 2023AFA017 ). Ruohan Wang has received financial support from China Scholarship Council, China (CSC No. 202206270125 ). ",
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AU - Lai, Xin

AU - Beer, Michael

N1 - Funding Information: This research is supported by the National Natural Science Foundation of China (Grant No. U22A20596 ) and the Natural Science Foundation Innovation Group Project of Hubei Province, China (Grant No. 2023AFA017 ). Ruohan Wang has received financial support from China Scholarship Council, China (CSC No. 202206270125 ).

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