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...
        Saved in:
      
    
          | Published in | Mechanics based design of structures and machines Vol. 53; no. 5; pp. 3416 - 3433 | 
|---|---|
| Main Authors | , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
            Taylor & Francis
    
        04.05.2025
     | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1539-7734 1539-7742  | 
| DOI | 10.1080/15397734.2024.2428748 | 
Cover
| 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 |