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Article: Robust design of structures using convex models

TitleRobust design of structures using convex models
Authors
KeywordsConvex model
Robust design
Robust reliability
Unsatisfactory degree function
Issue Date2003
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/compstruc
Citation
Computers And Structures, 2003, v. 81 n. 28-29, p. 2611-2619 How to Cite?
AbstractRobust design aims to achieve a state of robustness so that the performance of a design is least sensitive to the variability of uncertain variables. In this paper, a novel method of robust design is proposed using the convex model with the help of the unsatisfactory degree functions. The robustness of the objective function is achieved by minimizing the worst value of unsatisfactory degree functions of the uncertainty parameters while the feasibility robustness is ensured by a sub-optimization conducting the worst-case analysis. The proposed model is a nested optimization and a decomposition technique is then employed to relieve computational burdens. The robust design of a 10-bar aluminium truss and a 25-bar steel truss under uncertain loads are carried out based on the proposed model as numerical examples. © 2003 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/70524
ISSN
2015 Impact Factor: 2.425
2015 SCImago Journal Rankings: 1.710
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorAu, FTKen_HK
dc.contributor.authorCheng, YSen_HK
dc.contributor.authorTham, LGen_HK
dc.contributor.authorZeng, GWen_HK
dc.date.accessioned2010-09-06T06:23:44Z-
dc.date.available2010-09-06T06:23:44Z-
dc.date.issued2003en_HK
dc.identifier.citationComputers And Structures, 2003, v. 81 n. 28-29, p. 2611-2619en_HK
dc.identifier.issn0045-7949en_HK
dc.identifier.urihttp://hdl.handle.net/10722/70524-
dc.description.abstractRobust design aims to achieve a state of robustness so that the performance of a design is least sensitive to the variability of uncertain variables. In this paper, a novel method of robust design is proposed using the convex model with the help of the unsatisfactory degree functions. The robustness of the objective function is achieved by minimizing the worst value of unsatisfactory degree functions of the uncertainty parameters while the feasibility robustness is ensured by a sub-optimization conducting the worst-case analysis. The proposed model is a nested optimization and a decomposition technique is then employed to relieve computational burdens. The robust design of a 10-bar aluminium truss and a 25-bar steel truss under uncertain loads are carried out based on the proposed model as numerical examples. © 2003 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/compstrucen_HK
dc.relation.ispartofComputers and Structuresen_HK
dc.subjectConvex modelen_HK
dc.subjectRobust designen_HK
dc.subjectRobust reliabilityen_HK
dc.subjectUnsatisfactory degree functionen_HK
dc.titleRobust design of structures using convex modelsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0045-7949&volume=81&issue=28-29&spage=2611&epage=2619&date=2003&atitle=Robust+design+of+structures+using+convex+modelsen_HK
dc.identifier.emailAu, FTK:francis.au@hku.hken_HK
dc.identifier.emailTham, LG:hrectlg@hkucc.hku.hken_HK
dc.identifier.authorityAu, FTK=rp00083en_HK
dc.identifier.authorityTham, LG=rp00176en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S0045-7949(03)00322-5en_HK
dc.identifier.scopuseid_2-s2.0-0142075231en_HK
dc.identifier.hkuros95824en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0142075231&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume81en_HK
dc.identifier.issue28-29en_HK
dc.identifier.spage2611en_HK
dc.identifier.epage2619en_HK
dc.identifier.isiWOS:000186799500006-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridAu, FTK=7005204072en_HK
dc.identifier.scopusauthoridCheng, YS=7404911293en_HK
dc.identifier.scopusauthoridTham, LG=7006213628en_HK
dc.identifier.scopusauthoridZeng, GW=7202802813en_HK

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