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한국형 고속전철의 현가장치 최적설계를 위한 반응표면모델과 유전자 알고리즘 모델에 관한 연구

Title
한국형 고속전철의 현가장치 최적설계를 위한 반응표면모델과 유전자 알고리즘 모델에 관한 연구
Other Titles
A study on the response surface model and the neural network model to optimize the suspension characteristics for Korean High Speed Train
Author
배대성
Issue Date
2004-06
Publisher
한국철도학회
Citation
한국철도학회 2004년도 춘계학술대회논문집, Page. 7-12
Abstract
In design of suspension system for KHST, it was applied the approximated optimization method using meta-models which called Response Surface Model and Neural Network Model for 29 design variables and 46 performance index. These models was coded using correlation between design variables and performance indices that is made by the 66 times iterative execution through the design of experimental table consisted orthogonal array L32 and D-Optimal design table. The results show that the optimization process is very efficient and simply applicable for complex mechanical system such as railway vehicle system. Also it was compared with the sensitivity of some design variables in order to know the characteristics of two models. This paper describes the general method for dynamic analysis and design process of railway vehicle system applied to KHST development, and proposed the efficient methods for vibration mode analysis process dealing with test data and the function based approximation method using meta-model applicable for a complex mechanical system. This method will be able to apply to the other railway vehicle system in oder to systematize and generalize the design process of railway vehicle dynamic system.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE00782191&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/151027
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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