Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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Application of Soft Computing Based Response Surface Techniques in Sizing of A-Pillar Trim with Rib Structures

승용차 A-Pillar Trim의 치수설계를 위한 소프트컴퓨팅기반 반응표면기법의 응용

  • Kim, Seung-Jin (Dept.of Mechanical Engineering, Graduate School of Yonsei University) ;
  • Kim, Hyeong-Gon (Dept.of Mechanical Engineering, Graduate School of Yonsei University) ;
  • Lee, Jong-Su (Dept.of Mechanical Electronics Engineering, Yonsei University) ;
  • Gang, Sin-Il (Dept.of Mechanical Electronics Engineering, Yonsei University)
  • 김승진 (연세대학교 대학원 기계공학과) ;
  • 김형곤 (연세대학교 대학원 기계공학과) ;
  • 이종수 (연세대학교 기계전자공학부) ;
  • 강신일 (연세대학교 기계전자공학부)
  • Published : 2001.03.01
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Abstract

The paper proposes the fuzzy logic global approximate optimization strategies in optimal sizing of automotive A-pillar trim with rib structures for occupant head protection. Two different strategies referred to as evolutionary fuzzy modeling (EFM) and neuro-fuzzy modeling (NFM) are implemented in the context of global approximate optimization. EFM and NFM are based on soft computing paradigms utilizing fuzzy systems, neural networks and evolutionary computing techniques. Such approximation methods may have their promising characteristics in a case where the inherent nonlinearity in analysis model should be accommodated over the entire design space and the training data is not sufficiently provided. The objective of structural design is to determine the dimensions of rib in A-pillar, minimizing the equivalent head injury criterion HIC(d). The paper describes the head-form modeling and head impact simulation using LS-DYNA3D, and the approximation procedures including fuzzy rule generation, membership function selection and inference process for EFM and NFM, and subsequently presents their generalization capabilities in terms of number of fuzzy rules and training data.

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References

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