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CLC number: TU393.3

On-line Access: 2011-03-09

Received: 2010-05-03

Revision Accepted: 2010-09-10

Crosschecked: 2011-01-25

Cited: 4

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2011 Vol.12 No.3 P.238-246

10.1631/jzus.A1000209


Simulation of stochastic wind field for large complex structures based on modified Fourier spectrum


Author(s):  Zhao-dong Xu, Deng-xiang Wang, Ke-yi Wu

Affiliation(s):  Key Laboratory of C & PC Structures of the Ministry of Education, Southeast University, Nanjing 210096, China, Civil Engineering College, Southeast University, Nanjing 210096, China

Corresponding email(s):   xuzhdgyq@seu.edu.cn

Key Words:  Modified Fourier spectrum, Stochastic wind field, Large complex structures, Numerical simulation


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Zhao-dong Xu, Deng-xiang Wang, Ke-yi Wu. Simulation of stochastic wind field for large complex structures based on modified Fourier spectrum[J]. Journal of Zhejiang University Science A, 2011, 12(3): 238-246.

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%A Deng-xiang Wang
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%I Zhejiang University Press & Springer
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T1 - Simulation of stochastic wind field for large complex structures based on modified Fourier spectrum
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1000209


Abstract: 
Simulation for stochastic wind field is very important in analyzing dynamic responses of large complex structures due to strong wind. The typical simulation method is the spectrum representation method (SRM), but the SRM has drawbacks of inferior precision in lower frequency and slow calculating speed. In view of this, the modified Fourier spectrum method (MFSM) is introduced into the simulation of stochastic wind field in this paper. In this method, phase information of wind velocity time history is determined by cross power spectral density (CPSD) between adjacent points, and the wind velocity time history with time and space correlation is generated by iterative modification for CPSD considering auto power spectral density (APSD). Simulation of the wind field for a long-span bridge is undertaken to verify the effectiveness of the MFSM. Simulation results of the SRM and the MFSM are compared. It can be concluded that the MFSM is more accurate and has higher calculation speed than the SRM.

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Reference

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