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Reliability analysis of slopes using fuzzy sets theory
, Venkatachalam G.
Published in Elsevier Science Ltd, Exeter, United Kingdom
2000
Volume: 27
   
Issue: 2
Pages: 101 - 115
Abstract
The stability assessment of slopes is difficult because of many uncertainties. Possibilistic approach using fuzzy sets allows for a logical and systematic analysis of the uncertainties. In this paper an attempt has been made to present a new approach for the stability analysis of slopes incorporating fuzzy uncertainty. Uncertain parameters are expressed as fuzzy sets. A methodology has been presented in the study to process the fuzzy uncertainties in a slope reliability analysis. Fuzzy uncertainty i s incorporated in the estimated probability of failure. A numerical example of the finite earth slope problem illustrates the methodology. The approach allows assessment of the likelihood that a particular slope section will have a higher failure probability than the failure probability of the 'critical' deterministic failure surface. (C) 2000 Elsevier Science Ltd. All rights reserved.The stability assessment of slopes is difficult because of many uncertainties. Possibilistic approach using fuzzy sets allows for a logical and systematic analysis of the uncertainties. In this paper an attempt has been made to present a new approach for the stability analysis of slopes incorporating fuzzy uncertainty. Uncertain parameters are expressed as fuzzy sets. A methodology has been presented in the study to process the fuzzy uncertainties in a slope reliability analysis. Fuzzy uncertainty is incorporated in the estimated probability of failure. A numerical example of the finite earth slope problem illustrates the methodology. The approach allows assessment of the likelihood that a particular slope section will have a higher failure probability than the failure probability of the 'critical' deterministic failure surface.
About the journal
JournalData powered by TypesetComputers and Geotechnics
PublisherData powered by TypesetElsevier Science Ltd, Exeter, United Kingdom
ISSN0266352X
Open AccessNo