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Article: Provision of reinforcement in concrete solids using the generalized genetic algorithm

TitleProvision of reinforcement in concrete solids using the generalized genetic algorithm
Authors
KeywordsAdaptive random mutation
Generalized genetic algorithm
Heterogeneous strategy
Population isolation
Reinforcement design
Issue Date2011
PublisherAmerican Society of Civil Engineers.
Citation
Journal of Computing in Civil Engineering, 2011, v. 25 n. 3, p. 211-217 How to Cite?
AbstractA generalized genetic algorithm has been developed to find the global optimal reinforcement contents for a concrete solid structure subjected to a general three-dimensional (3D) stress field. Feasible solutions were examined based on the genetic algorithm, and the heterogeneous strategy used ensures that all of the local optimal regions are searched and the most optimal reinforcement content found. The effectiveness of the proposed approach has been validated by comparing the steel contents evaluated using the present method with those obtained from other available methods. A more economic design is achieved by the proposed algorithm. The method developed provides the designer with a valuable tool for the determination of reinforcements in complicated solid concrete structures. © 2011 American Society of Civil Engineers.
Persistent Identifierhttp://hdl.handle.net/10722/137225
ISSN
2015 Impact Factor: 1.855
2015 SCImago Journal Rankings: 1.219
ISI Accession Number ID
Funding AgencyGrant Number
Research Grants Council of Hong Kong SARHKU7166/08E
Funding Information:

The work described in this paper was fully supported by the Research Grants Council of Hong Kong SAR (Project No. HKU7166/08E).

References

 

DC FieldValueLanguage
dc.contributor.authorSu, RKLen_US
dc.contributor.authorYan, LWen_US
dc.contributor.authorLaw, CWen_US
dc.contributor.authorHuang, JLen_US
dc.contributor.authorCheng, YMen_US
dc.date.accessioned2011-08-26T14:19:28Z-
dc.date.available2011-08-26T14:19:28Z-
dc.date.issued2011en_US
dc.identifier.citationJournal of Computing in Civil Engineering, 2011, v. 25 n. 3, p. 211-217en_US
dc.identifier.issn0887-3801en_US
dc.identifier.urihttp://hdl.handle.net/10722/137225-
dc.description.abstractA generalized genetic algorithm has been developed to find the global optimal reinforcement contents for a concrete solid structure subjected to a general three-dimensional (3D) stress field. Feasible solutions were examined based on the genetic algorithm, and the heterogeneous strategy used ensures that all of the local optimal regions are searched and the most optimal reinforcement content found. The effectiveness of the proposed approach has been validated by comparing the steel contents evaluated using the present method with those obtained from other available methods. A more economic design is achieved by the proposed algorithm. The method developed provides the designer with a valuable tool for the determination of reinforcements in complicated solid concrete structures. © 2011 American Society of Civil Engineers.-
dc.languageengen_US
dc.publisherAmerican Society of Civil Engineers.en_US
dc.relation.ispartofJournal of Computing in Civil Engineeringen_US
dc.rightsJournal of Computing in Civil Engineering. Copyright © American Society of Civil Engineers.en_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAdaptive random mutation-
dc.subjectGeneralized genetic algorithm-
dc.subjectHeterogeneous strategy-
dc.subjectPopulation isolation-
dc.subjectReinforcement design-
dc.titleProvision of reinforcement in concrete solids using the generalized genetic algorithmen_US
dc.typeArticleen_US
dc.identifier.emailSu, RKL: klsu@hkucc.hku.hken_US
dc.identifier.emailYan, LW: ylw21@hku.hken_US
dc.identifier.authoritySu, RKL=rp00072en_US
dc.description.naturepostprint-
dc.identifier.doi10.1061/(ASCE)CP.1943-5487.0000083-
dc.identifier.scopuseid_2-s2.0-79957618599-
dc.identifier.hkuros189395en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79957618599&selection=ref&src=s&origin=recordpage-
dc.identifier.volume25en_US
dc.identifier.issue3en_US
dc.identifier.spage211en_US
dc.identifier.epage217en_US
dc.identifier.isiWOS:000290451800005-
dc.publisher.placeUnited States-

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