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Article: Isogeometric Bi-Directional Evolutionary Structural Optimization

TitleIsogeometric Bi-Directional Evolutionary Structural Optimization
Authors
KeywordsIsogeometric analysis (IGA)
Topology optimization
Bi-directional evolutionary structural optimization
NURBS filter
Issue Date2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE): OAJ. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6287639
Citation
IEEE Access, 2019, v. 7, p. 91134-91145 How to Cite?
AbstractIsogeometric analysis (IGA), due to its high efficiency and accuracy, can be replaced by the conventional finite element method in the topology optimizations (TOs). In this paper, we present an efficient isogeometric TO method based on the scheme of bi-directional evolutionary structural optimization (BESO). The structural response analysis is implemented by the IGA, and the detailed derivation is introduced. Based on the local support property of the non-uniform rational B-spline (NURBS), a NURBS filter is proposed to smooth the sensitivity numbers, of which NURBS space is different from that used in the IGA as long as the element spans keep consistency. Three benchmark numerical examples with different filters and mesh sizes are presented to validate the stability and mesh-dependency of the proposed isogeometric TO method.
Persistent Identifierhttp://hdl.handle.net/10722/274893
ISSN
2017 Impact Factor: 3.557
2015 SCImago Journal Rankings: 0.947
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYin, L-
dc.contributor.authorZhang, F-
dc.contributor.authorDeng, X-
dc.contributor.authorWu, P-
dc.contributor.authorZeng, H-
dc.contributor.authorLiu, M-
dc.date.accessioned2019-09-10T02:31:04Z-
dc.date.available2019-09-10T02:31:04Z-
dc.date.issued2019-
dc.identifier.citationIEEE Access, 2019, v. 7, p. 91134-91145-
dc.identifier.issn2169-3536-
dc.identifier.urihttp://hdl.handle.net/10722/274893-
dc.description.abstractIsogeometric analysis (IGA), due to its high efficiency and accuracy, can be replaced by the conventional finite element method in the topology optimizations (TOs). In this paper, we present an efficient isogeometric TO method based on the scheme of bi-directional evolutionary structural optimization (BESO). The structural response analysis is implemented by the IGA, and the detailed derivation is introduced. Based on the local support property of the non-uniform rational B-spline (NURBS), a NURBS filter is proposed to smooth the sensitivity numbers, of which NURBS space is different from that used in the IGA as long as the element spans keep consistency. Three benchmark numerical examples with different filters and mesh sizes are presented to validate the stability and mesh-dependency of the proposed isogeometric TO method.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE): OAJ. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6287639-
dc.relation.ispartofIEEE Access-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectIsogeometric analysis (IGA)-
dc.subjectTopology optimization-
dc.subjectBi-directional evolutionary structural optimization-
dc.subjectNURBS filter-
dc.titleIsogeometric Bi-Directional Evolutionary Structural Optimization-
dc.typeArticle-
dc.identifier.emailDeng, X: xwdeng@hku.hk-
dc.identifier.authorityDeng, X=rp02223-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ACCESS.2019.2927820-
dc.identifier.hkuros304738-
dc.identifier.volume7-
dc.identifier.spage91134-
dc.identifier.epage91145-
dc.identifier.isiWOS:000477864400029-
dc.publisher.placeUnited States-

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