TY - JOUR ID - 102190 TI - Multi-objective optimization of buckling load for a laminated composite plate by coupling genetic algorithm and FEM JO - Journal of Aerospace Science and Technology JA - JAST LA - en SN - 1735-2134 AU - Fakoor, Mahdi AU - Ghoreishi, Seyed Mohammad Navid AU - Aminjafari, Mohamad AD - University of Tehran AD - Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran AD - Satellite Research Institute, Iranian Space Research Center, Tehran, Iran Y1 - 2019 PY - 2019 VL - 12 IS - 1 SP - 27 EP - 37 KW - Laminated composite plates KW - Buckling load KW - Multi-Objective Genetic Algorithm (MOGA) KW - Finite element method (FEM) KW - Pareto front DO - N2 - In this paper, a combination method has been developed by coupling Multi-Objective Genetic Algorithms (MOGA) and Finite Element Method (FEM). This method has been applied for determination of the optimal stacking sequence of laminated composite plate against buckling. The most important parameters in optimization of a laminated composite plate such as, angle, thickness, number, and material of each layer are considered in the proposed method. These optimization processes have done for 3 types of compressive loads and optimal stacking sequences and Pareto front for each kind of compressive loads are determined. Unlike estimation methods like response surface and simple analytic methods, in the proposed optimization algorithm, objective functions are calculated directly by FEM software which leads to precise results. The results of proposed algorithm are validated against existing data in literature. The effects of different boundary conditions and aspect ratio of plate on Pareto front in buckling of a laminated composite plate are also studied. UR - https://jast.ias.ir/article_102190.html L1 - https://jast.ias.ir/article_102190_0962a3fb22e557e54de220126efddfe3.pdf ER -