Practical reliability analysis for earthquake-induced 3D landslide using stochastic response surface method. (September 2021)

• Record Type: Journal Article
• Authors: Kasama, Kiyonobu; Furukawa, Zentaro; Hu, Lihang
• Is Part Of: Computers and geotechnics. Volume 137(2021)
• Publication Date: 2021-09
• Subjects: 3D slope stability -- Earthquake -- Reliability -- Monte Carlo simulation -- Stochastic response surface method; Engineering geology -- Data processing -- Periodicals; Soil mechanics -- Data processing -- Periodicals; Rock mechanics -- Data processing -- Periodicals; 624.1510285
• DOI: 10.1016/j.compgeo.2021.104303
• Languages: English
• ISSNs: 0266-352X

Abstract

Abstract: This study investigates the effect of spatial variability on the stability of a real 3D slope subjected to earthquakes by conventional Monte Carlo simulation (MCS) and a stochastic response surface method. The stochastic response surface method used in this study (VRSRSM) was combined with a variance reduction method due to spatial averaging of soil parameters in slope failure to reduce a large computational load due to the realization of spatially correlated input parameters in three-dimensional space. In order to verify the applicability of the stochastic response surface method with a variance reduction method for 3D slope reliability, the safety factor for a simple 3D slope under non-seismic and seismic conditions was analyzed by MCS and VRSRSM. The VRSRSM was applied to risk evaluation of deep-seated landslides caused by the 2016 Kumamoto earthquake along with backcalculation of strength parameters based on the slope failure geometry and field investigation.