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Article: Multi-objective optimization of the sandwich panels with prismatic cores using genetic algorithms

TitleMulti-objective optimization of the sandwich panels with prismatic cores using genetic algorithms
Authors
KeywordsBuckling
Genetic algorithms
Heat transfer performance
Light-weight structures
Multi-objective optimization
Prismatic sandwich panels
Issue Date2007
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ijsolstr
Citation
International Journal Of Solids And Structures, 2007, v. 44 n. 17, p. 5466-5480 How to Cite?
AbstractIn the present study, a new type of sandwich panels with prismatic cores, which are capable of load bearing as well as cooling, is optimized to have minimum weight and maximum heat transfer performance. In order to simultaneously minimize the total weight and maximize the heat transfer performance, a multi-objective optimization approach has been developed using genetic algorithms. A set of compromised solutions, known as the tradeoff surface, is obtained. The tradeoff information between the two objectives is exploited in terms of multi-functionality of the sandwich panels, and the relation between the two objectives is quantified in the present study. The detailed configurations and dimensions of the sandwich panels at the optima are provided. Some basic characteristics of the sandwich panels with prismatic cores have been observed in terms of their multi-functionality. © 2007 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/75668
ISSN
2015 Impact Factor: 2.081
2015 SCImago Journal Rankings: 1.597
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorTan, XHen_HK
dc.contributor.authorSoh, AKen_HK
dc.date.accessioned2010-09-06T07:13:24Z-
dc.date.available2010-09-06T07:13:24Z-
dc.date.issued2007en_HK
dc.identifier.citationInternational Journal Of Solids And Structures, 2007, v. 44 n. 17, p. 5466-5480en_HK
dc.identifier.issn0020-7683en_HK
dc.identifier.urihttp://hdl.handle.net/10722/75668-
dc.description.abstractIn the present study, a new type of sandwich panels with prismatic cores, which are capable of load bearing as well as cooling, is optimized to have minimum weight and maximum heat transfer performance. In order to simultaneously minimize the total weight and maximize the heat transfer performance, a multi-objective optimization approach has been developed using genetic algorithms. A set of compromised solutions, known as the tradeoff surface, is obtained. The tradeoff information between the two objectives is exploited in terms of multi-functionality of the sandwich panels, and the relation between the two objectives is quantified in the present study. The detailed configurations and dimensions of the sandwich panels at the optima are provided. Some basic characteristics of the sandwich panels with prismatic cores have been observed in terms of their multi-functionality. © 2007 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/ijsolstren_HK
dc.relation.ispartofInternational Journal of Solids and Structuresen_HK
dc.subjectBucklingen_HK
dc.subjectGenetic algorithmsen_HK
dc.subjectHeat transfer performanceen_HK
dc.subjectLight-weight structuresen_HK
dc.subjectMulti-objective optimizationen_HK
dc.subjectPrismatic sandwich panelsen_HK
dc.titleMulti-objective optimization of the sandwich panels with prismatic cores using genetic algorithmsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0020-7683&volume=44&issue=17&spage=5466&epage=5480&date=2007&atitle=Multi-objective+optimization+of+the+sandwich+panels+with+prismatic+cores+using+genetic+algorithmsen_HK
dc.identifier.emailSoh, AK:aksoh@hkucc.hku.hken_HK
dc.identifier.authoritySoh, AK=rp00170en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ijsolstr.2007.01.006en_HK
dc.identifier.scopuseid_2-s2.0-34447266975en_HK
dc.identifier.hkuros144651en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34447266975&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume44en_HK
dc.identifier.issue17en_HK
dc.identifier.spage5466en_HK
dc.identifier.epage5480en_HK
dc.identifier.isiWOS:000248879300004-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridTan, XH=16835751200en_HK
dc.identifier.scopusauthoridSoh, AK=7006795203en_HK

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