Slope stability assessment using stochastic rainfall simulation
Loading...
Authors
White, Joshua A.
Singham, Dashi I.
Subjects
Slope-stability
Rainfall
Unsaturated flow
Markov process
Finite element method
Rainfall
Unsaturated flow
Markov process
Finite element method
Advisors
Date of Issue
2012
Date
Publisher
Language
en_US
Abstract
Many regions around the world are vulnerable to rainfall-induced landslides and debris flow. A variety of methods, from simple analytical approximations to sophisticated numerical methods, have been proposed over the years for capturing the relevant physics leading to landslide initiation. A key shortcoming of current hazard analysis techniques, however, is that they typically rely on a single historical rainfall record as input to the hydromechanical analysis. Unfortunately, the use of a single record igores the inherently stochastic nature of the rainfall process. In this work, we employ a Markov chain model to generate many realizations of rainfall time series given a measured historical record. We then use these simulated realizations to drive several hundred finite element simulations of subsurface infiltration and collapse. The resulting slope-stability analysis provides an opportunity to assess the inherent distribution of failure statistics, and provides a much more complete picture of slope behavior.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1016/j.procs.2012.04.075
Series/Report No
Department
Operations Research (OR)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
J.A. White, D.I. Singham, "Slope stability assessment using
stochastic rainfall simulation," ICCS 2012,
Proceedia Computer Science, v.9 (2012), pp. 699-706
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.