Multi-Objective Optimization of Stacking Sequences for Laminated Composite Beams by Genetic Algorithm

Abstract:

In this study, multi-objective optimization of stacking sequences for laminated composite composite beams is studied for simply supported boundary conditions. A unified three-degrees-of-freedom shear deformable beam theory is used for analytical solution and genetic algorithm is used as optimization technique. By use of two different parameters such as the deflection and frequency together in a pre-defined fitness function, optimization process is carried out in order to maximize the fitness function. Initially, the deflection, frequency, fitness function values and corresponding stacking sequences are presented for various number of layers and increment of fiber orientation angle. The variation of the fitness function with respect to deflection and frequency depending on the number of generations are presented.

• Periodical: Applied Mechanics and Materials (Volume 729)
• Pages: 89-94
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.729.89
• Online since: January 2015
• Authors: Fatih Karaçam, Taner Timarci
• Keywords: Dynamic Analysis, Genetic Algorithm (GA), Laminated Composite Beams, Multi-Objective Optimization (MOP), Stacking Sequence Optimization, Static Analysis

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DOI: 10.1007/978-1-4757-5184-0

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