다분야통합최적설계에서 협동최적화기법의 고찰과 해결방안에 관한 연구
A Study on the Consideration and Settlement of Collaborative Optimization Approach in the Multidisciplinary Design Optimization
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초록
Multidisciplinary Design Optimization(MDO) method that considers principles in various fields affecting big scale structure and system design at the same time is used. Because most variables are connected many engineering phenomena under the classic optimized design method(all-in-one design approach), it is hard to judge the meaning of final design solution obtained, and there are cases where all variables converge before reaching the optimal design value in large-scale design problems with many variables. Collaborative Optimization (CO) method, the most advanced MDO approach, is used to efficiently solve these optimum problems, to efficiently analyze design problems involving numerous design variables and constraints and in which various engineering phenomena occur. However, the application of the MDO problem to CO introduces a number of numerical problems by destroying the numerical properties of the original optimal design problem. Therefore, this study researches one solution by listing the problems of CO after organizing various approaches of MDO.
Abstract
Multidisciplinary Design Optimization(MDO) method that considers principles in various fields affecting big scale structure and system design at the same time is used. Because most variables are connected many engineering phenomena under the classic optimized design method(all-in-one design approach), it is hard to judge the meaning of final design solution obtained, and there are cases where all variables converge before reaching the optimal design value in large-scale design problems with many variables. Collaborative Optimization (CO) method, the most advanced MDO approach, is used to efficiently solve these optimum problems, to efficiently analyze design problems involving numerous design variables and constraints and in which various engineering phenomena occur. However, the application of the MDO problem to CO introduces a number of numerical problems by destroying the numerical properties of the original optimal design problem. Therefore, this study researches one solution by listing the problems of CO after organizing various approaches of MDO.
참고문헌 (6)
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- Evaluation of Methods for Multidisciplinary Design Optimization(MDO), Phase I, "Srinivas Kodiyalam.", ~, pp.NASA (1998), CR-1998-208716
- Alexandrov, N, M., "Analytical and Computational Aspects of Collaborative Optimization", AIAA J, 40, pp.301~309 (2000)
- JiGuan G. Lin, "Examining and Improving Collaborative Optimization Approach to Multidisciplinary Design", 9th AIAA, 2002, 2002~5503
- Young Choi, "MDO-Based Design Collaboration", J. of the Korean Society of Precision Engineering, 20(9), pp.142~150 (2003)
- Ho-Jun Lee, "Web Services-based Multidisciplinary Design Optimization System", J. of the Korean Society for Aeronautical & Space Science, 35(12), pp.1225~1348 (2007)