An Analysis Method for Fuzzy Natural Frequency using Response Surface Methodology

Material type: その他

Author: KURATANI, Fumiyasuほか

Publisher: 社団法人日本機械学会

Publication date: 2008-03

Material Format: Digital

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Note (General)：: 出版タイプ： AOIn this paper, we propose an efficient procedure for finding the possible ranges of uncertain natural frequencies of a finite element (FE)mod...

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Material Type: その他
Title: An Analysis Method for Fuzzy Natural Frequency using Response Surface Methodology
Author/Editor: KURATANI, Fumiyasu
ISHIZUKA, Shinich
WASHIO, Saiji
Author Heading: KURATANI, Fumiyasu
ISHIZUKA, Shinich
WASHIO, Saiji
Publication, Distribution, etc.: 社団法人日本機械学会
Publication Date: 2008-03
Publication Date (W3CDTF): 2008
Periodical title: Journal of System Design and Dynamics
No. or year of volume/issue: 2 1
Volume: 2
Issue: 1
Pages: 64-75
ISSN (Periodical Title): ISSN : 1881-3046
Target Audience: 一般
Note (General): 出版タイプ： AO
In this paper, we propose an efficient procedure for finding the possible ranges of uncertain natural frequencies of a finite element (FE)model with uncertain parameters.Uncertain model parameters are described by input fuzzy numbers and then output fuzzy numbers are calculated by fuzzy arithmetic. The variation range of natural frequency is obtained from the membership function of output fuzzy number. The fuzzy arithmetic used is based on the α-cut concept and interval analysis. To reduce the computational effort for the interval analysis,the global optimization technique using response surface methodology(RSM)is introduced.Furthermore,we propose an approach for finding the feasible ranges of uncertain model paramaters when the ranges of natural frequencies are specified. This is an inverse problem.A simple frame model is used to demonstrate the effectiveness of the proposed procedure and approach.The examples show that the membership functions of uncertain natural frequencies are efficiently and accurately estimated by the proposed procedure.In addition,the ranges of uncertain model parameters are properly evaluated by the proposed approach.
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 福井大学 : 福井大学学術機関リポジトリ