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Post-failure analysis of layered slope considering strength spatial variability using GPU-accelerated random material point method

delete2026-04-04
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PRE
AI
J
Junyan Yu
K
Kiyonobu Kasama *
R
Ran Yuan
C
Chong Peng
Y
Yongxing Wang
A
Abdulqader M. Mohsen Al-Abadi
Y
Yi He *
DOI：10.1016/j.advengsoft.2026.104171delete
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Abstract

Abstract

En 中文
• Layered slope is investigated using GPU-RMPM for stochastic large-deformation analysis. • Global failure results in larger sliding volume than local failure for comparable influence range. • Deterministic analysis underestimates the potential impact of layered slope.
Keywords:
Layered slope
Stochastic analysis
Large deformation
GPU-accelerated
Random material point method

Journal

Advances in Engineering Software cover
Advances in Engineering Software
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5.7
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3.3K
Citations:
1.2W

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Southwest Jiaotong University
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University of Aden cover
University of Aden
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S
Southeast University
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University of Leeds
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978
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Kyushu University
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Citations: 2.8W
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