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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Bibliographic Details
Published inMechanics based design of structures and machines Vol. 53; no. 5; pp. 3416 - 3433
Main Authors Sager, Guilherme, Hofstadler, Franz, Grotti, Ewerton, Bührer Santana, Pedro, Paucar Casas, Walter Jesus, Gomes, Herbert Martins
Format Journal Article
LanguageEnglish
Published Taylor & Francis 04.05.2025
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ISSN1539-7734
1539-7742
DOI10.1080/15397734.2024.2428748

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Summary: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.
ISSN:1539-7734
1539-7742
DOI:10.1080/15397734.2024.2428748