A Technique for Constrained Optimization of Cross-ply Laminates using a New Variant of Genetic Algorithm

• Published in: International journal of advanced computer science & applications Vol. 12; no. 6
• Main Authors: Zhang, Huiyao, Yokoyama, Atsushi
• Format: Journal Article
• Language: English
• Published: West Yorkshire Science and Information (SAI) Organization Limited 2021
• Subjects: Combinatorial analysis; Composite materials; Constraints; Design optimization; Fiber orientation; Genetic algorithms; Laminar composites; Laminates; Orientation effects
• ISSN: 2158-107X; 2156-5570
• DOI: 10.14569/IJACSA.2021.0120689

The main challenge presented by the design of laminated composite material is the laminate layup, involving a set of fiber orientations, composite material systems, and stacking sequences. In nature, it is a combinatorial optimization problem with constraints that can be solved by the genetic algorithm. The traditional approach to solve a constrained problem is reformulating the objective function. In the present study, a new variant of the genetic algorithm is proposed for the design of composite material by using a mix of selection strategies, instead of modifying the objective function. To check the feasibility of a laminate subject to in-plane loading, the effect of the fiber orientation angles and material components on the first ply failure is studied. The algorithm has been validated by successfully optimizing the design of cross-ply laminate under different in-plane loading cases. The results obtained by this algorithm are better than works in related literature.