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

verfasst von

Ruohan Wang, Shaofan Li, Yong Liu, Xuan Hu, Xin Lai, Michael Beer

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.

Organisationseinheit(en)

Institut für Risiko und Zuverlässigkeit

Externe Organisation(en)

Wuhan University
University of California at Berkeley
Wuhan University of Technology
The University of Liverpool
Tongji University

Typ

Artikel

Journal

Computers and geotechnics

Band

168

Anzahl der Seiten

14

ISSN

0266-352X

Publikationsdatum

04.2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Geotechnik und Ingenieurgeologie, Angewandte Informatik

Elektronische Version(en)

https://doi.org/10.1016/j.compgeo.2024.106128 (Zugang: Geschlossen)