Development of hazard map for deep-seated landslide using stochastic response surface method

Kiyonobu Kasama, H. Tanaka

Research output: Contribution to conferencePaper

Abstract

This paper presents a numerical procedure to develop a hazard map for a deep-seated landslide using the stochastic response surface method considering the uncertainty of strength parameters. The following conclusions are drawn from this study; (1) Based on the parametric study of 3D slope stability analysis, the cohesion of 110kPa and the frictional angle of 35o are estimated for the deep-seated landslide at Tateno area in Kumamoto prefecture caused by the 2016 Kumamoto earthquake, Japan. (2) The failure probability of seep-seated landslide for the foreshock and main shock of the 2016 Kumamoto earthquake are estimated to be 30% and almost 100% respectively. (3) Under the situation having the uncertainty of material parameters, the stochastic response surface method using the polynomial chaos expansion is useful for developing a hazard map for the failure probability and the arrival risk of a large-scale landslide such as a deep-seated landslide.

Original languageEnglish
Publication statusPublished - Jan 1 2020
Event16th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2019 - Taipei, Taiwan, Province of China
Duration: Oct 14 2019Oct 18 2019

Conference

Conference16th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2019
CountryTaiwan, Province of China
CityTaipei
Period10/14/1910/18/19

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology

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    Kasama, K., & Tanaka, H. (2020). Development of hazard map for deep-seated landslide using stochastic response surface method. Paper presented at 16th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2019, Taipei, Taiwan, Province of China.