Journal of the Korean Society for Aeronautical & Space Sciences (한국항공우주학회지)

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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A Study on the Optimization of Aircraft Fuselage Structure using Mixture Amount Method & Genetic Algorithm

혼합물 총량법과 유전자 알고리즘을 이용한 항공기 동체 최적화에 관한 연구

  • Published : 2006.07.31
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Abstract

In general engineering problems, the purpose of an optimization is to get optimal design variables. It is the same problem to fix the total amount of the design variables and to judge the optimal mixing proportions of the design variables. That is to say, we can recompose the engineering problems in the concepts of the mixture amount experiments. The goal of mixture amount method is to get the response surfaces of varying both the mixing proportion of component and the total amount of the mixture. The solution of the aircraft fuselage optimization problem is obtained by the mixture amount method and genetic algorithm. In this study, it is shown that the mixture amount method can be utilized for the aircraft structural optimization problem. Also, this method in this study can be applied for the optimization problems over 12 design variables which is impossible for D-optimal design.

일반적인 엔지니어링 문제에 대한 최적화는 최적의 설계변수를 구하는 문제이다. 이는 설계변수의 총합을 얼마로 하며, 총합을 설계변수들이 어떠한 비율로 차지하는 것이 최적인가를 판단하는 문제가 된다. 즉, 혼합물 총량법의 개념에 맞추어 문제를 재구성할 수 있다. 혼합물 총량법의 목적은 각 성분의 혼합비율과 혼합물의 총량을 동시에 고려하여 반응면을 구하는 것이다. 항공기 동체 최적화 문제에 혼합물 총량법과 유전자 알고리즘을 적용하였다. 이번 연구를 통해서 항공기 구조물 최적화 문제에 대한 혼합물 총량법의 유용성을 확인하였다. 또한 본 연구에서 제시된 혼합물 총량법은 D-optimal에서는 불가능한 설계변수 12개 이상의 최적화 문제에도 적용이 가능하다.

Keywords

References

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