SINGLE-OBJECTIVE AND MULTI-OBJECTIVE OPTIMIZATION OF CURVED SANDWICH PANEL WITH MAGNETO-RHEOLOGICAL FLUID CORE USING GENETIC ALGORITHM
作者： Livani Mostafa , Rezaei Hassanabadi Mohsen , Malekzadeh Fard Keramat
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摘要: Original Research Paper Received 12 May 2014 Accepted 06 August Available Online 28 October In this study, single-objective and multi-objective optimization of curved sandwich panel with composite face sheets magneto-rheological core have been done to maximize the first modal loss factor minimize mass by using genetic algorithm. The studied was simply support boundary condition. order derive governing equations motion, an improved high theory Hamilton's principle were used for time. sheet thickness, fiber angles intensity magnetic field considered as variables. optimization, optimized values variables calculated. results showed that structures tend thick thin which seems physically true. As fluid placed in core, it has significant effect on increasing factor. For Pareto front optimal technique presented. Then time at field, set points are selected based TOPSIS method case similar size mass, double-curved is more than sigle-curved.
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