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A gradient-type algorithm for constrained optimization with application to microstructure optimization

dc.contributor.authorBarbarosie, Cristian
dc.contributor.authorToader, Anca-Maria
dc.contributor.authorLopes, S.
dc.date.accessioned2020-04-16T17:17:32Z
dc.date.available2020-04-16T17:17:32Z
dc.date.issued2020-05
dc.description.abstractWe propose a method to optimize periodic microstructures for obtaining homogenized materials with negative Poisson ratio, using shape and/or topology variations in the model hole. The proposed approach employs worst case design in order to minimize the Poisson ratio of the (possibly anisotropic) homogenized elastic tensor in several prescribed directions. We use a minimization algorithm for inequality constraints based on an active set strategy and on a new algorithm for solving minimization problems with equality constraints, belonging to the class of null-space gradient methods. It uses first order derivatives of both the objective function and the constraints. The step is computed as a sum between a steepest descent step (minimizing the objective functional) and a correction step related to the Newton method (aiming to solve the equality constraints). The linear combination between these two steps involves coefficients similar to Lagrange multipliers which are computed in a natural way based on the Newton method. The algorithm uses no projection and thus the iterates are not feasible; the constraints are only satisfied in the limit (after convergence). A local convergence result is proven for a general nonlinear setting, where both the objective functional and the constraints are not necessarily convex functions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBARBAROSTE,Cristian; TOADER, Anca-Maria; LOPES, Sérgio – A gradient-type algorithm for constrained optimization with application to microstructure optimization. Discrete and Continuous Dynamical Systems – Série B. ISSN 1531-3492. Vol. 25, N.º 5 (2020), pp. 1729–1755pt_PT
dc.identifier.doi10.3934/dcdsb.2019249pt_PT
dc.identifier.issn1531-3492
dc.identifier.issn1553-524X
dc.identifier.urihttp://hdl.handle.net/10400.21/11459
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAmerican Institute of Mathematical Sciencespt_PT
dc.relationUID/MAT/04561/2019 - FCTpt_PT
dc.relation.publisherversionfile:///C:/Users/f1546/AppData/Local/Packages/Microsoft.MicrosoftEdge_8wekyb3d8bbwe/TempState/Downloads/1531-3492_2020_5_1729%20(1).pdfpt_PT
dc.subjectNonlinear programmingpt_PT
dc.subjectConstrained minimizationpt_PT
dc.subjectWorst case designpt_PT
dc.subjectOptimization of microstructurespt_PT
dc.subjectPorous materialspt_PT
dc.subjectMicrostructurept_PT
dc.subjectAuxetic materialspt_PT
dc.titleA gradient-type algorithm for constrained optimization with application to microstructure optimizationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1755pt_PT
oaire.citation.issue5pt_PT
oaire.citation.startPage1729pt_PT
oaire.citation.titleDiscrete and Continuous Dynamical Systems - Series Bpt_PT
oaire.citation.volume25pt_PT
person.familyNameBarbarosie
person.familyNameToader
person.familyNameLopes
person.givenNameCristian
person.givenNameAnca-Maria
person.givenNameSérgio
person.identifier.ciencia-idF71F-6907-5FAD
person.identifier.ciencia-idFF13-478A-41A2
person.identifier.ciencia-idE411-3433-93E4
person.identifier.orcid0000-0002-9144-7750
person.identifier.orcid0000-0002-6670-2406
person.identifier.orcid0000-0001-6853-6854
person.identifier.ridE-6366-2016
person.identifier.scopus-author-id6602229218
person.identifier.scopus-author-id55946191000
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication5787bfd7-015a-44d4-9289-25bb6f9b7430
relation.isAuthorOfPublicationf3ca4741-cf04-47f9-ac42-c14ffb76a23f
relation.isAuthorOfPublication36d4a431-525d-4ccc-a58f-6db6efe002e6
relation.isAuthorOfPublication.latestForDiscovery5787bfd7-015a-44d4-9289-25bb6f9b7430

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