한국소음진동공학회:학술대회논문집 (Proceedings of the Korean Society for Noise and Vibration Engineering Conference)
- 한국소음진동공학회 2003년도 추계학술대회논문집
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- Pages.104-108
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- 2003
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- 1598-2548(pISSN)
최적화 기법을 이용한 로터 축 유한요소모델 개선
FE MODEL UPDATING OF ROTOR SHAFT USING OPTIMIZATION TECHNIQUES
- Kim, Yong-Han (School of Mech. Eng., Pukyong Nat. Univ.,) ;
- Feng, Fu-Zhou (School of Mech. Eng., Pukyong Nat. Univ.) ;
- Yang, Bo-Suk (School of Mech. Eng., Pukyong Nat. Univ.,)
- 발행 : 2003.11.01
초록
Finite element (FE) model updating is a procedure to minimize the differences between analytical and experimental results, which can be usually posed as an optimization problem. This paper aims to introduce a hybrid optimization algorithm (GA-SA), which consists of a Genetic algorithm (GA) stage and an Adaptive Simulated Annealing (ASA) stage, to FE model updating for a shrunk shaft. A good agreement of the first four natural frequencies has been achieved obtained from GASA based updated model (FEgasa) and experiment. In order to prove the validity of GA-SA, comparisons of natural frequencies obtained from the initial FE model (FEinit), GA based updated model (FEga) and ASA based updated model (FEasa) are carried out. Simultaneously, the FRF comparisons obtained from different FE models and experiment are also shown. It is concluded that the GA, ASA, GA-SA are powerful optimization techniques which can be successfully applied to FE model updating, the natural frequencies and FRF obtained from all the updated models show much better agreement with experiment than that obtained from FEinit model. However, FEgasa is proved to be the most reasonable FE model, and also FEasa model is better than FEga model.