DYNAMIC CHARACTERISTIC ANALYSIS OF FUZZY- STOCHASTIC TRUSS STRUCTURES BASED ON FUZZY FACTOR METHOD AND RANDOM FACTOR METHOD

A new fuzzy stochastic finite element method based on the fuzzy factor method and random factor method is given and the analysis of structural dynamic characteristic for fuzzy stochastic truss structures is presented. Considering the fuzzy randomness of the structural physical parameters and geometr...

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Published inApplied mathematics and mechanics Vol. 27; no. 6; pp. 823 - 832
Main Author 马娟 陈建军 徐亚兰 江涛
Format Journal Article
LanguageEnglish
Published School of Electromechanical Engineering, Xidian University, Xi'an 710071, P. R. China 01.06.2006
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ISSN0253-4827
1573-2754
DOI10.1007/s10483-006-0613-z

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Summary:A new fuzzy stochastic finite element method based on the fuzzy factor method and random factor method is given and the analysis of structural dynamic characteristic for fuzzy stochastic truss structures is presented. Considering the fuzzy randomness of the structural physical parameters and geometric dimensions simultaneously, the structural stiffness and mass matrices axe constructed based on the fuzzy factor method and random factor method; from the Rayleigh's quotient of structural vibration, the structural fuzzy random dynamic characteristic is obtained by means of the interval arithmetic; the fuzzy numeric characteristics of dynamic characteristic axe then derived by using the random variable's moment function method and algebra synthesis method. Two examples axe used to illustrate the validity and rationality of the method given. The advantage of this method is that the effect of the fuzzy randomness of one of the structural parameters on the fuzzy randomness of the dynamic characteristic can be reflected expediently and objectively.
Bibliography:fuzzy stochastic truss
fuzzy random dynamic characteristic
O159
fuzzy stochastic truss; fuzzy factor method; random factor method; fuzzy random dynamic characteristic
31-1650/O1
fuzzy factor method
O327
random factor method
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0253-4827
1573-2754
DOI:10.1007/s10483-006-0613-z