Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2919
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dc.contributor.authorKriegesmann, Benedikt-
dc.contributor.authorLüdeker, Julian Kajo-
dc.date.accessioned2019-07-01T15:14:36Z-
dc.date.available2019-07-01T15:14:36Z-
dc.date.issued2019-02-08-
dc.identifier.citationStructural and Multidisciplinary Optimization 1 (60): 269-286 (2019)de_DE
dc.identifier.issn1615-147Xde_DE
dc.identifier.urihttp://hdl.handle.net/11420/2861-
dc.description.abstractA robust topology optimization approach is presented which uses the probabilistic first-order second-moment method for the estimation of mean value and variance of the compliance. The considered sources of uncertainty are the applied load, the spatially varying Young’s modulus, and the geometry with focus on the latter two. In difference to similar existing approaches for robust topology optimization, the presented approach requires only one solution of an adjoint system to determine the derivatives of the variance, which keeps the computation time close to the deterministic optimization. For validation, also the second-order fourth-moment method and Monte Carlo simulations are embedded into the optimization. For all approaches, the applicability and impact on the resulting design are demonstrated by application to benchmark examples. For random load, the first-order second-moment approach provides unsatisfying results. For random, Young’s modulus and geometry, however, the robust topology optimization using first-order second-moment approach provides robust designs at very little computational cost.en
dc.language.isoende_DE
dc.publisherSpringerde_DE
dc.relation.ispartofStructural and multidisciplinary optimizationde_DE
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/de_DE
dc.subject.ddc600: Technikde_DE
dc.subject.ddc620: Ingenieurwissenschaftende_DE
dc.titleRobust compliance topology optimization using the first-order second-moment methodde_DE
dc.typeArticlede_DE
dc.identifier.doi10.15480/882.2919-
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.037353-
tuhh.oai.showfalsede_DE
tuhh.abstract.englishA robust topology optimization approach is presented which uses the probabilistic first-order second-moment method for the estimation of mean value and variance of the compliance. The considered sources of uncertainty are the applied load, the spatially varying Young’s modulus, and the geometry with focus on the latter two. In difference to similar existing approaches for robust topology optimization, the presented approach requires only one solution of an adjoint system to determine the derivatives of the variance, which keeps the computation time close to the deterministic optimization. For validation, also the second-order fourth-moment method and Monte Carlo simulations are embedded into the optimization. For all approaches, the applicability and impact on the resulting design are demonstrated by application to benchmark examples. For random load, the first-order second-moment approach provides unsatisfying results. For random, Young’s modulus and geometry, however, the robust topology optimization using first-order second-moment approach provides robust designs at very little computational cost.de_DE
tuhh.publisher.doi10.1007/s00158-019-02216-8-
tuhh.publication.instituteStrukturoptimierung im Leichtbau M-EXK1de_DE
tuhh.identifier.doi10.15480/882.2919-
tuhh.type.opus(wissenschaftlicher) Artikel-
tuhh.institute.germanStrukturoptimierung im Leichtbau M-EXK1de
tuhh.institute.englishStrukturoptimierung im Leichtbau M-EXK1de_DE
tuhh.gvk.hasppnfalse-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue1de_DE
tuhh.container.volume60de_DE
tuhh.container.startpage269de_DE
tuhh.container.endpage286de_DE
dc.rights.nationallicensefalsede_DE
local.status.inpressfalsede_DE
local.type.versionacceptedVersionde_DE
item.grantfulltextopen-
item.creatorGNDKriegesmann, Benedikt-
item.creatorGNDLüdeker, Julian Kajo-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.creatorOrcidKriegesmann, Benedikt-
item.creatorOrcidLüdeker, Julian Kajo-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.deptStrukturoptimierung im Leichtbau M-EXK1-
crisitem.author.deptStrukturoptimierung im Leichtbau M-EXK1-
crisitem.author.orcid0000-0001-5330-9886-
crisitem.author.orcid0000-0002-8775-2832-
crisitem.author.parentorgStudiendekanat Maschinenbau-
crisitem.author.parentorgStudiendekanat Maschinenbau-
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