보수적 근사모델을 적용한 신뢰성 기반 강건 최적설계 방법
Study of Reliability‐Based Robust Design Optimization Using Conservative Approximate Meta‐Models
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
The methods of robust design optimization (RDO) and reliability‐based robust design optimization (RBRDO) were implemented in the present study. RBRDO is an integrated method that accounts for the design robustness of an objective function and for the reliability of constraints. The objective function in RBRDO is expressed in terms of the mean and standard deviation of an original objective function. Thus, a multi‐objective formulation is employed. The regressive approximate models are generated via the moving least squares method (MLSM) and constraint‐feasible moving least squares method (CF‐MLSM), which make it possible to realize the feasibility regardless of the multimodality/nonlinearity of the constraint function during the approximate optimization processes. The regression model based RBRDO is newly devised and its numerical characteristics are explored using the design of an actively controlled ten bar truss structure.
Abstract
The methods of robust design optimization (RDO) and reliability‐based robust design optimization (RBRDO) were implemented in the present study. RBRDO is an integrated method that accounts for the design robustness of an objective function and for the reliability of constraints. The objective function in RBRDO is expressed in terms of the mean and standard deviation of an original objective function. Thus, a multi‐objective formulation is employed. The regressive approximate models are generated via the moving least squares method (MLSM) and constraint‐feasible moving least squares method (CF‐MLSM), which make it possible to realize the feasibility regardless of the multimodality/nonlinearity of the constraint function during the approximate optimization processes. The regression model based RBRDO is newly devised and its numerical characteristics are explored using the design of an actively controlled ten bar truss structure.
참고문헌 (14)
- Arora. J., "Introduction to optimum design. 2nd Edition" (2004), McGraw-Hill
- Breitkopf, P., "An introduction to moving least squares meshfree methods", Revue Europenne des Eléments Finis, 11, pp.825~868 (2002)
- Büskensa. C., "SQP-methods for solving optimal control problems with control and state constraints : adjoint variables, sensitivity analysis and real-time control", Journal of Computational and Applied Mathematics, 120, pp.85~108 (2000)
- Chun, H. Y., "Comparative Studies of Reliability-Based Topology Optimization", Proceedings of Fall Annual Meeting of KSME, pp.812~817 (2005)
- 정태환, "신뢰성 해석을 이용한 심해용 내압용기의 설계 최적화", 한국해양공학회지, 19(2), pp.40~46 (2005), 한국해양공학회
- 이동훈, "부분안전계수를 이용한 경사식 방파제의 최적설계기법", 한국해양공학회지, 17(6), pp.23~31 (2003), 한국해양공학회
- Lee, J., "GAs in Decomposition Based Design-Subsystem Interactions Through Immune Network Simulation", Structural Optimization, 14, pp.248~255 (1997)
- Lee, K. H., "Robust Optimization Considering Tolerances of Design Variables", Computers and Structures, 79(1), pp.77~86 (2001)
- 유철호, "선체 곡판의 롤 굽힘 공정 변수 결정을 위한가공 형상의 최적 근사 알고리즘", 대한조선학회 논문집, 44(5), pp.517~525 (2007), 대한조선학회
- Sandgren, E., "Robust design optimization of structures through consideration of variation", Computers and Structures, 80, pp.1605~1613 (2002)
- Song, C. Y., "Strength Design of Knuckle Component Using Moving Least Squares Methods", Proc. IMechE, Part D: Journal of Automobile Engineering, 223(8), pp.1019~1032 (2009)
- 송창용, "Reliability-based design optimization of an FPSO riser support using moving least squares response surface meta-models", OCEAN ENGINEERING, 38(2-3), pp.304~318 (2011), PERGAMON-ELSEVIER SCIENCE LTD
- Tu, J., "A new study on reliability-based design optimization", Journal of Mechanical Design, 121(4), pp.557~564 (1999)
- 윤병동, "A new response surface methodology for reliability-based design optimization", COMPUTERS STRUCTURES, 82(2-3), pp.241~256 (2004), PERGAMON-ELSEVIER SCIENCE LTD