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Comparative Study of Approximate Optimization Techniques in CAE-Based Structural Design

구조 최적설계를 위한 다양한 근사 최적화기법의 적용 및 비교에 관한 연구

  • 송창용 (목포대학교 해양시스템공학과) ;
  • 이종수 (연세대학교 기계공학과)
  • Received : 2010.03.12
  • Accepted : 2010.09.01
  • Published : 2010.11.01

Abstract

The comparative study of regression-model-based approximate optimization techniques used in the strength design of an automotive knuckle component that will be under bump and brake loading conditions is carried out. The design problem is formulated such that the cross-sectional sizing variables are determined by minimizing the weight of the knuckle component that is subjected to stresses, deformations, and vibration frequency constraints. The techniques used in the comparative study are sequential approximate optimization (SAO), sequential two-point diagonal quadratic approximate optimization (STDQAO), and approximate optimization based on enhanced moving least squares method (MLSM), such as CF (constraint feasible)-MLSM and Post-MLSM. Commercial process integration and design optimization (PIDO) tools are utilized for the application of SAO and STDQAO. The enhanced MLSM-based approximate optimization techniques are newly developed to ensure constraint feasibility. The results of the approximate optimization techniques are compared with those of actual non-approximate optimization to evaluate their numerical performances.

Keywords

Sequential Approximate Optimization;Moving Least Squares Method;Constraint Feasibility;Process Integration and Design Optimization;CAE

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