Optimization of Dimensions of a Sandwich Structure Using Genetic Algorithm (GA)

Mohammad Reza Khoshravan; M. Hosseinzadeh

doi:10.4028/www.scientific.net/AMR.47-50.371

Paper Titles

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Synthesis of Mono-Sized Silica Nanoparticles by Combustion Technique
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Synthesis of Straight Y-Shaped Silica Nanorods
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Optimization of Dimensions of a Sandwich Structure Using Genetic Algorithm (GA)
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Effect of Substrate Temperature and Incident Energy for Alloyzation of Co onto Cu(001) Substrate
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Three-Dimensional Charge Redistribution of Ionic Polymer-Metal Composites with Uncertainty in Surface Conductivity
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InGaP/GaAs pnp Heterojunction Bipolar Transistor with δ-Doped Sheet between Base-Emitter Junction
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Thermal Post-Buckling Analysis of Functionally Graded Panels in Hypersonic Airflows
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Optimization of Dimensions of a Sandwich Structure Using Genetic Algorithm (GA)

Abstract:

Optimum height of the core and thickness of the composite faces of a sandwich panel under a defined loading have been computed in order to obtain the lowest weight of structure and its highest stiffness. Either by choosing adequate lay up sequence of multilayer composite faces, desired properties of the composite faces was chosen. The Genetic Algorithm (GA) based on statistics was used and to obtain the best methods of G.A., sensitivity analysis was carried out. In result, the influence of sensitivity analysis was found useful because it leaded to a better convergence of problem and decreased the execution time of the problem.