Stability assessment of the unsaturated slope under rainfall condition considering random rainfall patterns

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

Stability assessment of the unsaturated slope under rainfall condition considering random rainfall patterns

Tang, G Huang, J Sheng, D

Sloan, S

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Publisher:: CRC Press
Publication Type:: Chapter
Citation:: Numerical Methods in Geotechnical Engineering IX, 2018, 1, pp. 507-514
Issue Date:: 2018-06-19

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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, S
dc.date.accessioned	2022-12-22T22:28:41Z
dc.date.available	2022-12-22T22:28:41Z
dc.date.issued	2018-06-19
dc.identifier.citation	Numerical Methods in Geotechnical Engineering IX, 2018, 1, pp. 507-514
dc.identifier.isbn	9780429446931
dc.identifier.uri	http://hdl.handle.net/10453/164527
dc.description.abstract	Using a typical two-dimensional unsaturated slope, this paper investigates the effects of random rainfall patterns on the stability of unsaturated slope under rainfall condition. Rainfall information is presented in the form of Intensity-Frequency-Duration (IFD) curves. Random Rainfall Patterns (RRPs) are simulated based on Random Cascade Model (RCM) and Monte Carlo Method (MCM). The Conditional Failure Probability (CFP) of the unsaturated slope is investigated by considering the numerous generated RRPs. Meanwhile, the Annual Failure Probability (AFP) of the unsaturated slope is estimated considering also the occurrence frequencies of rainfall events. The results show that the slope stability is sensitive to rainfall patterns, and the RRPs can be considered in the determination of slope reliability.
dc.format.extent	114
dc.language	en
dc.publisher	CRC Press
dc.relation.ispartof	Numerical Methods in Geotechnical Engineering IX
dc.relation.isbasedon	10.1201/9781351003629-63
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Stability assessment of the unsaturated slope under rainfall condition considering random rainfall patterns
dc.type	Chapter
utslib.citation.volume	1
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	*
pubs.consider-herdc	false
dc.date.updated	2022-12-22T22:28:38Z
pubs.place-of-publication	UK
pubs.publication-status	Published
pubs.volume	1
dc.location	UK

Abstract:

Using a typical two-dimensional unsaturated slope, this paper investigates the effects of random rainfall patterns on the stability of unsaturated slope under rainfall condition. Rainfall information is presented in the form of Intensity-Frequency-Duration (IFD) curves. Random Rainfall Patterns (RRPs) are simulated based on Random Cascade Model (RCM) and Monte Carlo Method (MCM). The Conditional Failure Probability (CFP) of the unsaturated slope is investigated by considering the numerous generated RRPs. Meanwhile, the Annual Failure Probability (AFP) of the unsaturated slope is estimated considering also the occurrence frequencies of rainfall events. The results show that the slope stability is sensitive to rainfall patterns, and the RRPs can be considered in the determination of slope reliability.

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