Transactions of the Korean Society of Automotive Engineers (한국자동차공학회논문집)

The Korean Society of Automotive Engineers (한국자동차공학회)
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Estimation of the Rubber Material Property by Successive Zooming Genetic Algorithm

연속적 확대 유전기법을 이용한 고무물성계수의 산출

  • Kwon Youngdoo (School of Mechanical Engineering, Kyungpook National University) ;
  • Kim Jaeyong (Graduate School of Mechanical Engineering, Kyungpook National University) ;
  • Lee Jaekwan (Graduate School of Mechanical Engineering, Kyungpook National University) ;
  • Kwon Hyunwook (Graduate School of Mechanical Engineering, Kyungpook National University) ;
  • Han Insik (Agency for Defense Development)
  • 권영두 (경북대학교 기계공학부) ;
  • 김재용 (경북대학교 기계공학과 대학원) ;
  • 이재관 (경북대학교 기계공학과 대학원) ;
  • 권현욱 (경북대학교 기계공학과 대학원) ;
  • 한인식 (국방과학연구소)
  • Published : 2005.01.01
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Abstract

Nowadays, various kind of rubber-like materials are used in industry. These are usually installed in automobiles, trains, etc. They work as dampers or important parts in the system, and the applications for rubber-like materials are increasing. In the past days, rubber engineers and designers predicted rubber material behaviors by the analytic method for limited problems. With the progress of digital computers, Finite Element Methods is widely used for analyzing the rubber-like materials. The popular methods predicting rubber material property are curve fitting and least square method, but there are some problems such as low precision and tedious solving process. Here, we introduce a method estimating rubber material property by successive zooming genetic algorithm(SZGA). The proposed algorithm offers more precise rubber property. To demonstrate the effectiveness of the proposed algorithm, we compared this method with Haines & Wilson's method, MARC, ABAQUS.

Keywords

References

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