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물성치의 불확실성을 고려한 복합재 적층평판의 적층배열 최적화
조맹효(Maenghyo Cho),이승윤(Seung-Yun Rhee) 대한기계학회 2002 대한기계학회 춘추학술대회 Vol.2002 No.5
The layup optimization by genetic algorithm (GA) for the maximum strength of laminated composites with free-edge is presented. The laminate is undergoing axial tension, bending and twisting, respectively. For the calculation of interlaminar stresses of composite laminates with free edges, extended Kantorovich method is applied. In the formulation of GA, repair strategy is adopted for the satisfaction of given constraints. In order to consider the bounded uncertainty of material properties, convex modeling is used. Because interlaminar strength can change rapidly with respect to the deviation of the values of the material properties, application of linear convex model is not proper. Thus in the present study, two-point exponential approximation (TPEA) is employed in the construction of convex set. Results of GA optimization with scattered properties are compared with those of optimization with nominal properties. The GA combined with convex modeling can work as a practical tool for light weight design of laminated composite structures since uncertainties are always encountered in composite materials.
물성치의 불확실성을 고려한 적층평판 강도의 GA 최적화
조맹효(Maenghyo Cho),이승윤(Seung-Yun Rhee) 대한기계학회 2001 대한기계학회 춘추학술대회 Vol.2001 No.11
The layup optimization by genetic algorithm (GA) for the maximum strength of laminated composites with free-edge is presented. For the calculation of interlaminar stresses of composite laminates with free edges, extended Kantorovich method is applied. In the formulation of GA, repair strategy is adopted for the satisfaction of given constraints. In order to consider the bounded uncertainty of material properties, convex modeling is used. Because interlaminar strength can change rapidly with respect to the deviation of the values of the material properties, application of linear convex model is not proper. Thus in the present study, two-point exponential approximation(TPEA) is employed in the construction of convex set. Results of GA optimization with scattered properties are compared with those of optimization with nominal properties. The GA combined with convex modeling can work as a practical tool for light weight design of laminated composite structures since uncertainties are always encountered in composite materials.