A new simulation algorithm of multivariate short-term stochastic wind velocity field based on inverse fast Fourier transform

被引：35

作者：

Chen, Ning ^{[1
]}

Li, Yongle ^{[1
]}

Xiang, Huoyue ^{[1
]}

机构：

[1] Southwest Jiaotong Univ, Dept Bridge Engn, Chengdu 610031, Sichuan, Peoples R China

来源：

ENGINEERING STRUCTURES | 2014年 / 80卷

基金：

中国国家自然科学基金;

关键词：

Stochastic process; Wind velocity field; Long span bridge; Spectral representation method; FFT; NONSTATIONARY RANDOM-PROCESSES; NUMERICAL-SIMULATION; FLUTTER; MODEL;

D O I：

10.1016/j.engstruct.2014.09.012

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

A novel algorithm to generate samples of stationary multivariate stochastic processes is presented according to a Fourier-Stieltjes integral and based on a strict mathematical deduction. The algorithm is very efficient as it takes full advantage of inverse fast Fourier transform technique, and is especially applicable to the simulation of short-term wind velocity field with many simulation points. By creation of a conjugate-symmetric series, the summing operation of the decomposed lagged coherence matrix is conducted in the frequency-domain, which decreased the executions of IFFT. Furthermore, the ergodic property of the algorithm is carefully investigated, and computational efficiency is compared with that of the existing method. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：251 / 259

页数：9

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