Details
| Original language | English |
|---|---|
| Article number | 106128 |
| Number of pages | 14 |
| Journal | Computers and geotechnics |
| Volume | 168 |
| Early online date | 3 Feb 2024 |
| Publication status | Published - 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
- Earth and Planetary Sciences(all)
- Geotechnical Engineering and Engineering Geology
- Computer Science(all)
- Computer Science Applications
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In: Computers and geotechnics, Vol. 168, 106128, 04.2024.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Peridynamics-based large-deformation simulations for near-fault landslides considering soil uncertainty
AU - Wang, Ruohan
AU - Li, Shaofan
AU - Liu, Yong
AU - Hu, Xuan
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 ).
PY - 2024/4
Y1 - 2024/4
N2 - 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.
AB - 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.
KW - Landslide
KW - Large-deformation simulation
KW - Peridynamics
KW - Pulse-like ground motion
KW - Run-out assessment
KW - Spatial variability
UR - http://www.scopus.com/inward/record.url?scp=85183942015&partnerID=8YFLogxK
U2 - 10.1016/j.compgeo.2024.106128
DO - 10.1016/j.compgeo.2024.106128
M3 - Article
AN - SCOPUS:85183942015
VL - 168
JO - Computers and geotechnics
JF - Computers and geotechnics
SN - 0266-352X
M1 - 106128
ER -