Optimum Design for CLD Laminate Plates Using Genetic Algorithms

Abstract

The optimizations of constrained layered damped (CLD) laminated structures are discussed in this study. Genetic algorithms (GAs) are employed as the search tool for optimization because these algorithms are suitable for solving optimization problems involving multiple discrete variable combinations. The numerical computation packages, ANSYS and MATLAB, have been used to estimate the optimum stacking sequence of CLD laminated structures. MATLAB package is used to achieve GAs process, and ANSYS package is used to proceed the structural analysis. This study successfully developed a numerical simulation mechanism for optimizing CLD adhesion efficiency by implementing GAs and the finite element method. The loss coefficients of the CLD damping layer vary with vibration frequency and failure constraints of CLD laminated plates are considered in objective function. In addition, the modified plasticity analysis (MPA) is used to increase the search efficiency of GAs and simply plastic analysis.

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Luo, G. and Hsieh, T. (2014) Optimum Design for CLD Laminate Plates Using Genetic Algorithms. Open Journal of Composite Materials, 4, 106-116. doi: 10.4236/ojcm.2014.42012.

Conflicts of Interest

The authors declare no conflicts of interest.

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