Structural Topology Design Using Compliance Pattern Based Genetic Algorithm

컴플라이언스 패턴 기반 유전자 알고리즘을 이용한 구조물 위상설계

  • 박영오 (한양대학교 대학원 기계설계학과) ;
  • 민승재 (한양대학교 기계공학부/자동차공학과)
  • Published : 2009.08.01


Topology optimization is to find the optimal material distribution of the specified design domain minimizing the objective function while satisfying the design constraints. Since the genetic algorithm (GA) has its advantage of locating global optimum with high probability, it has been applied to the topology optimization. To guarantee the structural connectivity, the concept of compliance pattern is proposed and to improve the convergence rate, small number of population size and variable probability in genetic operators are incorporated into GA. The rank sum weight method is applied to formulate the fitness function consisting of compliance, volume, connectivity and checkerboard pattern. To substantiate the proposed method design examples in the previous works are compared with respect to the number of function evaluation and objective function value. The comparative study shows that the compliance pattern based GA results in the reduction of computational cost to obtain the reasonable structural topology.


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