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Article: Diplacement back analysis for a steep slope at the Three Gorges Project site

TitleDiplacement back analysis for a steep slope at the Three Gorges Project site
Authors
Issue Date2001
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ijrmms
Citation
International Journal Of Rock Mechanics And Mining Sciences, 2001, v. 38 n. 2, p. 259-268 How to Cite?
AbstractThis paper contributes to two aspects of displacement back analysis of rock slopes. First, a novel method for displacement back analysis is presented, based on error back-propagation neural network and genetic algorithm (GA). The BP network replaces the time-consuming finite element method, thus enhancing the efficiency of the analysis. The GA is used as an optimization method, whose global search strategy can effectively improve the reliability of the analysis, thereby, making the back-analyzed results independent of the initial values. Application of this methodology is illustrated with a numerical example. Secondly, the deformation mechanism of rock mass is duly taken into account in the displacement back analysis of Profile 17-17 of the permanent shiplock slope at the Three Gorges Project site, by treating the disturbed zones as weakened media, yielding reasonable results. © 2001 Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/175563
ISSN
2015 Impact Factor: 2.01
2015 SCImago Journal Rankings: 2.134
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorDeng, JHen_US
dc.contributor.authorLee, CFen_US
dc.date.accessioned2012-11-26T08:59:42Z-
dc.date.available2012-11-26T08:59:42Z-
dc.date.issued2001en_US
dc.identifier.citationInternational Journal Of Rock Mechanics And Mining Sciences, 2001, v. 38 n. 2, p. 259-268en_US
dc.identifier.issn1365-1609en_US
dc.identifier.urihttp://hdl.handle.net/10722/175563-
dc.description.abstractThis paper contributes to two aspects of displacement back analysis of rock slopes. First, a novel method for displacement back analysis is presented, based on error back-propagation neural network and genetic algorithm (GA). The BP network replaces the time-consuming finite element method, thus enhancing the efficiency of the analysis. The GA is used as an optimization method, whose global search strategy can effectively improve the reliability of the analysis, thereby, making the back-analyzed results independent of the initial values. Application of this methodology is illustrated with a numerical example. Secondly, the deformation mechanism of rock mass is duly taken into account in the displacement back analysis of Profile 17-17 of the permanent shiplock slope at the Three Gorges Project site, by treating the disturbed zones as weakened media, yielding reasonable results. © 2001 Elsevier Science Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ijrmmsen_US
dc.relation.ispartofInternational Journal of Rock Mechanics and Mining Sciencesen_US
dc.titleDiplacement back analysis for a steep slope at the Three Gorges Project siteen_US
dc.typeArticleen_US
dc.identifier.emailLee, CF: leecf@hkucc.hku.hken_US
dc.identifier.authorityLee, CF=rp00139en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S1365-1609(00)00077-0en_US
dc.identifier.scopuseid_2-s2.0-0035251512en_US
dc.identifier.hkuros60986-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035251512&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume38en_US
dc.identifier.issue2en_US
dc.identifier.spage259en_US
dc.identifier.epage268en_US
dc.identifier.isiWOS:000167627100008-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridDeng, JH=7402612983en_US
dc.identifier.scopusauthoridLee, CF=8068602600en_US

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