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Article: Diplacement back analysis for a steep slope at the Three Gorges Project site
Title | Diplacement back analysis for a steep slope at the Three Gorges Project site |
---|---|
Authors | |
Issue Date | 2001 |
Publisher | Pergamon. 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? |
Abstract | This 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 Identifier | http://hdl.handle.net/10722/175563 |
ISSN | 2023 Impact Factor: 7.0 2023 SCImago Journal Rankings: 2.331 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Deng, JH | en_US |
dc.contributor.author | Lee, CF | en_US |
dc.date.accessioned | 2012-11-26T08:59:42Z | - |
dc.date.available | 2012-11-26T08:59:42Z | - |
dc.date.issued | 2001 | en_US |
dc.identifier.citation | International Journal Of Rock Mechanics And Mining Sciences, 2001, v. 38 n. 2, p. 259-268 | en_US |
dc.identifier.issn | 1365-1609 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/175563 | - |
dc.description.abstract | This 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.language | eng | en_US |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/ijrmms | en_US |
dc.relation.ispartof | International Journal of Rock Mechanics and Mining Sciences | en_US |
dc.title | Diplacement back analysis for a steep slope at the Three Gorges Project site | en_US |
dc.type | Article | en_US |
dc.identifier.email | Lee, CF: leecf@hkucc.hku.hk | en_US |
dc.identifier.authority | Lee, CF=rp00139 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1016/S1365-1609(00)00077-0 | en_US |
dc.identifier.scopus | eid_2-s2.0-0035251512 | en_US |
dc.identifier.hkuros | 60986 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0035251512&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 38 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.spage | 259 | en_US |
dc.identifier.epage | 268 | en_US |
dc.identifier.isi | WOS:000167627100008 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Deng, JH=7402612983 | en_US |
dc.identifier.scopusauthorid | Lee, CF=8068602600 | en_US |
dc.identifier.issnl | 1365-1609 | - |