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Optimal cruciform specimen design using the direct multi-search method and design variable influence study

dc.contributor.authorMiguel Gomes Simões Baptista, Ricardo
dc.contributor.authorCláudio, R. A.
dc.contributor.authorReis, L.
dc.contributor.authorMadeira, JFA
dc.contributor.authorFreitas, M.
dc.date.accessioned2018-01-26T12:47:07Z
dc.date.available2018-01-26T12:47:07Z
dc.date.issued2017-09
dc.description.abstractNowadays the development of new testing machines and the optimization of new specimen geometries are two very demanding activities. In order to study complex material stress and strain distributions, as in-plane biaxial loading, one must develop new technical solutions. A new type of testing machine has been developed by the present authors, for the fatigue testing of cruciform specimens, but the low capacity of the testing machine requires the optimization of the specimen in order to achieve higher but uniform stress and strain distributions on the specimen center. In this paper, the authors describe the procedure to optimize one possible geometry for cruciform specimens, able to determine the fatigue initiation life of material subjected to out of phase in-plane biaxial fatigue loadings. The high number of design variables were optimized using the direct multi-search method, considering two objective functions, the stress level on the specimen center and the uniformity of the strain distribution on a 1.0 mm radius of the specimen center. Several Pareto Fronts were obtained for different material thickness, considering the commercially available sheet metal thickness. With the optimal solution, the influence of every design variable was studied in order to provide others with a powerful tool that allows selecting the optimal geometry for the desired application. The results are presented in the form of design equations considering that the main design variable, the material thickness, was chosen from a Renard series of preferred numbers. The end user is then able to configure the optimal specimen for the required fatigue test.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBAPTISTA, R.; [et al] – Optimal cruciform specimen design using the direct multi-search method and design variable influence study. In 2nd International Conference on Structural Integrity, ICSI 2017. Funchal, Portugal: Procedia Structural Integrity – Elsevier, 2017. ISSN 2452-3216. Vol. 5, pp. 659-666pt_PT
dc.identifier.doi10.1016/j.prostr.2017.07.037pt_PT
dc.identifier.issn2452-3216
dc.identifier.urihttp://hdl.handle.net/10400.21/7981
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://ac.els-cdn.com/S2452321617301233/1-s2.0-S2452321617301233-main.pdf?_tid=381f5d16-028a-11e8-9aa9-00000aacb360&acdnat=1516965510_04cf68780b295c4ad51ceb3b19ff727cpt_PT
dc.subjectOptimizationpt_PT
dc.subjectCruciform specimenpt_PT
dc.subjectFatigue initiation lifept_PT
dc.subjectPareto frontspt_PT
dc.subjectRenard seriespt_PT
dc.titleOptimal cruciform specimen design using the direct multi-search method and design variable influence studypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEMS%2F50022%2F2013/PT
oaire.citation.conferencePlaceFunchal - Portugal - 4-7 Sep. 2017pt_PT
oaire.citation.endPage666pt_PT
oaire.citation.startPage659pt_PT
oaire.citation.titleProcedia Structural Integrity - 2nd International Conference on Structural Integrity (ICSI)pt_PT
oaire.citation.volume5pt_PT
oaire.fundingStream5876
person.familyNameMiguel Gomes Simões Baptista
person.familyNameMadeira
person.givenNameRicardo
person.givenNameJose Firmino Aguilar
person.identifierN-6383-2013
person.identifier.ciencia-id4B19-FC15-14D9
person.identifier.ciencia-id6F1E-DCF0-D6EC
person.identifier.orcid0000-0002-5955-8418
person.identifier.orcid0000-0001-9523-3808
person.identifier.ridN-6918-2016
person.identifier.scopus-author-id7005968277
person.identifier.scopus-author-id7003405549
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd16b9294-0a46-4eed-970a-9ecf1273a1bd
relation.isAuthorOfPublicationd495619a-a6ab-4ff5-8e70-3a1351f934dc
relation.isAuthorOfPublication.latestForDiscoveryd16b9294-0a46-4eed-970a-9ecf1273a1bd
relation.isProjectOfPublicationc26dd8c5-b8c9-4ac6-8579-78539a14c943
relation.isProjectOfPublication.latestForDiscoveryc26dd8c5-b8c9-4ac6-8579-78539a14c943

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