Multiobjective optimization of laminated composite plates using metaheuristic algorithms
This study introduces a multiobjective optimization algorithm for composite laminates, targeting natural frequencies, internal stresses, and buckling resistance with ply orientation as a primary design variable. Validated against experimental data, the algorithm allows for tailored designs focused o...
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| Published in | Mechanics based design of structures and machines Vol. 53; no. 5; pp. 3416 - 3433 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis
04.05.2025
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1539-7734 1539-7742 |
| DOI | 10.1080/15397734.2024.2428748 |
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| Abstract | This study introduces a multiobjective optimization algorithm for composite laminates, targeting natural frequencies, internal stresses, and buckling resistance with ply orientation as a primary design variable. Validated against experimental data, the algorithm allows for tailored designs focused on dynamic performance, strength, or buckling needs. Four cases are analyzed, including a graphite-epoxy composite optimized for multiple objectives, showing the significant impact of fiber orientation on achieving specific structural requirements. By generating effective Pareto fronts across varying design constraints, the method provides a scalable approach for complex laminate optimization. This research fills a literature gap, balancing computational efficiency with accuracy compared to benchmark problems. |
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| AbstractList | This study introduces a multiobjective optimization algorithm for composite laminates, targeting natural frequencies, internal stresses, and buckling resistance with ply orientation as a primary design variable. Validated against experimental data, the algorithm allows for tailored designs focused on dynamic performance, strength, or buckling needs. Four cases are analyzed, including a graphite-epoxy composite optimized for multiple objectives, showing the significant impact of fiber orientation on achieving specific structural requirements. By generating effective Pareto fronts across varying design constraints, the method provides a scalable approach for complex laminate optimization. This research fills a literature gap, balancing computational efficiency with accuracy compared to benchmark problems. |
| Author | Hofstadler, Franz Paucar Casas, Walter Jesus Gomes, Herbert Martins Sager, Guilherme Grotti, Ewerton Bührer Santana, Pedro |
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| SubjectTerms | differential evolution optimization frequency and buckling constraints Laminated composites multiobjective optimization stacking sequence optimization |
| Title | Multiobjective optimization of laminated composite plates using metaheuristic algorithms |
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