Stability analysis of unsaturated soil slopes under random rainfall patterns

Tang, G; Huang, J; Sheng, D; Sloan, SW

Stability analysis of unsaturated soil slopes under random rainfall patterns

Tang, G Huang, J Sheng, D

Sloan, SW

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Publisher:: ELSEVIER SCIENCE BV
Publication Type:: Journal Article
Citation:: Engineering Geology, 2018, 245, pp. 322-332
Issue Date:: 2018-11-01

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Field	Value	Language
dc.contributor.author	Tang, G
dc.contributor.author	Huang, J
dc.contributor.author	Sheng, D https://orcid.org/0000-0002-1665-6931
dc.contributor.author	Sloan, SW
dc.date.accessioned	2022-09-01T04:49:24Z
dc.date.available	2022-09-01T04:49:24Z
dc.date.issued	2018-11-01
dc.identifier.citation	Engineering Geology, 2018, 245, pp. 322-332
dc.identifier.issn	0013-7952
dc.identifier.issn	1872-6917
dc.identifier.uri	http://hdl.handle.net/10453/161182
dc.description.abstract	The significance of rainfall pattern in the assessment of rainfall-induced landslide is widely recognized. However, much work so far is limited to several simplified typical rainfall patterns. In this study, the random rainfall pattern (RRP) is introduced and generated using random cascade model based on the rainfall event characterized by average rainfall intensity and duration. The stability of unsaturated slope considering RRPs is studied from three perspectives: deterministic analysis by means of safety factor under different generated RRPs, probabilistic analysis through conditional failure probability considering the diversity of generated RRPs based on Monte Carlo method and risk assessment analysis by introducing annual failure probability (AFP) considering also the occurrence frequencies of rainfall events. Three typical rainfall patterns are introduced for comparison analysis. The results show that slope stability is sensitive to the RRP and is strongly depend on the temporal distribution of rainfall intensity in RRP. High likelihood of slope failure may occur considering the variety of RRPs even though the slope is in a stable state in terms of deterministic analysis. The AFP considering RRPs increases rapidly with increasing rainfall duration and is significantly different from those under typical rainfall patterns. The findings lead to the conclusion that RRPs should be considered in the estimation of unsaturated slope stability.
dc.language	English
dc.publisher	ELSEVIER SCIENCE BV
dc.relation	http://purl.org/au-research/grants/arc/DP180103748
dc.relation.ispartof	Engineering Geology
dc.relation.isbasedon	10.1016/j.enggeo.2018.09.013
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 0909 Geomatic Engineering, 0999 Other Engineering
dc.subject.classification	Geological & Geomatics Engineering
dc.title	Stability analysis of unsaturated soil slopes under random rainfall patterns
dc.type	Journal Article
utslib.citation.volume	245
utslib.for	0905 Civil Engineering
utslib.for	0909 Geomatic Engineering
utslib.for	0999 Other Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-09-01T04:49:21Z
pubs.publication-status	Published
pubs.volume	245

Abstract:

The significance of rainfall pattern in the assessment of rainfall-induced landslide is widely recognized. However, much work so far is limited to several simplified typical rainfall patterns. In this study, the random rainfall pattern (RRP) is introduced and generated using random cascade model based on the rainfall event characterized by average rainfall intensity and duration. The stability of unsaturated slope considering RRPs is studied from three perspectives: deterministic analysis by means of safety factor under different generated RRPs, probabilistic analysis through conditional failure probability considering the diversity of generated RRPs based on Monte Carlo method and risk assessment analysis by introducing annual failure probability (AFP) considering also the occurrence frequencies of rainfall events. Three typical rainfall patterns are introduced for comparison analysis. The results show that slope stability is sensitive to the RRP and is strongly depend on the temporal distribution of rainfall intensity in RRP. High likelihood of slope failure may occur considering the variety of RRPs even though the slope is in a stable state in terms of deterministic analysis. The AFP considering RRPs increases rapidly with increasing rainfall duration and is significantly different from those under typical rainfall patterns. The findings lead to the conclusion that RRPs should be considered in the estimation of unsaturated slope stability.

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http://hdl.handle.net/10453/161182