DocumentCode :
3590724
Title :
Model transformation method in dynamic response calculation of non-uniform random fields
Author :
Xiaosong, Guo ; Jinchun, Zhan ; Xiaoguang, Yao ; Yongbao, Feng
Author_Institution :
Xi´´an Res. Inst. of Hi-tech, Xi´´an, China
Volume :
2
fYear :
2009
Firstpage :
32
Lastpage :
35
Abstract :
Most environmental loads are non-uniform spatio-temporal random fields, which can not be directly divided to field elements. It restricts the usage of SFEA (Stochastic Finite Element Analysis) and makes the dynamical response calculation difficult. The authors propound a model transformation based method that rewrites the sample function of a non-uniform random field as a determinate function multiplied by a sample function of a uniform field, i.e., uniforms the non-uniform random field model. Then we can divide the new field model by employing local average methods to introduce SFEA. In this way, we have transformed the response analysis of non-uniform fields to the calculation of steady stochastic vibrations. The model transformation method enhances the efficiency of dynamical response analysis and adapts to different precision requests, so it implies great theoretical and practical merits.
Keywords :
finite element analysis; stochastic processes; determinate function; dynamic response analysis; local average methods; model transformation method; nonuniform random field model; spatio-temporal random field; steady stochastic vibration claculation; stochastic finite element analysis; Aerospace materials; Atmospheric modeling; Computational geometry; Equations; Finite element methods; Spatiotemporal phenomena; Stochastic processes; Stochastic systems; Structural engineering; Uncertainty; Dynamic response; Model transformation; Non-uniform random field; SFEA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358073
Filename :
5358073
Link To Document :
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