A new method of selecting effective parts for minimizing a target response using mutual mean compliance

Yasuaki Tsurumi, Toshiaki Nakagawa, Hiroshi Yamakawa

Research output: Contribution to journalArticle

Abstract

The accuracy of simulation for automotive structure is increasing more and more. However, it is difficult to find out a few good design variables under a mass constrain, since there are tremendous design variable candidates in a large-scale Finite Element model. Therefore we have to select some effective parts as design variables before solving an optimization problem. In this paper we propose a new basic concept of contribution analysis for minimizing a target response using mutual mean compliance. First, we present how to calculate a contribution rate to a static target response after clarifying the difference between elastic strain energy and mutual mean compliance. Secondly, we expand the above method to a dynamic problem. Then, the dynamic contribution rate is divided into 3 components, which are mass, damping and stiffness ones. Finally, we demonstrate the proposed method using a cantilever model.

Original languageEnglish
Pages (from-to)2080-2087
Number of pages8
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume72
Issue number7
Publication statusPublished - 2006 Jul
Externally publishedYes

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Strain energy
Damping
Stiffness
Compliance

Keywords

  • Contribution Analysis
  • Frequency Response Function
  • Mutual Mean Compliance
  • Optimal Design Method
  • Sensitivity Analysis
  • Strain Energy
  • Structural Analysis

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

A new method of selecting effective parts for minimizing a target response using mutual mean compliance. / Tsurumi, Yasuaki; Nakagawa, Toshiaki; Yamakawa, Hiroshi.

In: Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Vol. 72, No. 7, 07.2006, p. 2080-2087.

Research output: Contribution to journalArticle

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