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https://hdl.handle.net/10216/125271Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Carlos Alberto Conceição António | |
| dc.creator | Luísa Hoffbauer | |
| dc.date.accessioned | 2022-09-08T04:58:06Z | - |
| dc.date.available | 2022-09-08T04:58:06Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.other | sigarra:374194 | |
| dc.identifier.uri | https://hdl.handle.net/10216/125271 | - |
| dc.description.abstract | A robust design optimization (RDO) of composite structures addresses the design as a biobjective optimization problem with following objectives: (1) the weight of the structure which optimality is associated with performance robustness; and (2) the variability of structural response, which is associated with feasibility robustness of design constraints. Therefore, a bilevel dominance Multi-Objective Genetic Algorithm (MOGA-2D) solves the RDO of composite structures. The numerical tests show the capabilities of the approach. | |
| dc.language.iso | eng | |
| dc.relation.ispartof | M2D2019-8th International Conference on Mechanics and Materials Design | |
| dc.rights | restrictedAccess | |
| dc.subject | Engenharia, Matemática, Ciências da engenharia e tecnologias, Matemática | |
| dc.subject | Engineering, Mathematics, Engineering and technology, Mathematics | |
| dc.title | Minimum weight and maximum feasibility robustness approach for composite structures design | |
| dc.type | Artigo em Livro de Atas de Conferência Internacional | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.subject.fos | Ciências da engenharia e tecnologias | |
| dc.subject.fos | Engineering and technology | |
| dc.subject.fos | Ciências exactas e naturais::Matemática | |
| dc.subject.fos | Natural sciences::Mathematics | |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 374194.pdf Restricted Access | Abstract | 265.34 kB | Adobe PDF | View/Open |
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