论文题目：A three-dimensional large-deformation random finite-element study of landslide runout considering spatially varying soil

作者：Xuejian Chen (陈学俭), Dianqing Li (李典庆), Xiaosong Tang (唐小松), Yong Liu (刘勇)*

作者单位：

State Key Laboratory of Water Resources and Hydropower Engineering Science, Institute of Engineering Risk and Disaster Prevention, Wuhan University, Wuhan, 430072, People’s Republic of China

杂志：Landslides

DOI: 10.1007/s10346-021-01699-1

APA引用格式：Chen, X., Li, D., Tang, X., & Liu, Y. (2021). A three-dimensional large-deformation random finite-element study of landslide runout considering spatially varying soil. Landslides, DOI: 10.1007/s10346-021-01699-1.

摘要：

Landslide is a uniquely dynamic large-deformation process that can present serious threat to human lives and infrastructures. The natural soil properties often exhibit inherent spatial variability, which affects the landslide behavior significantly. This paper focuses on combined Monte Carlo simulation and three-dimensional (3D) dynamic large-deformation finite-element (LDFE) analysis using the coupled Eulerian-Lagrangian method to investigate the whole runout process of landslide induced by the earthquake in spatially varying soil. The results from LDFE analysis show that the mean value of runout distance in spatially varying soil is significantly higher than that of the deterministic value obtained from a homogeneous slope due to the slope failure developed along the weakest path in soils. The mean runout distance increases and converges with increasing slope length in 3D-LDFE stochastic analysis. The advantages and necessities of 3D-LDFE analysis were illustrated by comparing it with two-dimensional (2D) LDFE analysis of landslide in spatially varying soil. The results show that the calculated mean runout distance using 3D-LDFE method is at least 16.1% higher than that calculated using 2D-LDFE analysis. Finally, a linear regression formula was established to estimate the mean runout distance of landslide due to horizontal inertia acceleration. Such a formula may facilitate the risk assessment of landslide in practical engineering.