Improved Spectral Representation Method for the Simulation of Stochastic Wind Velocity Field Based on FFT Algorithm and Polynomial Decomposition
Publication: Journal of Engineering Mechanics
Volume 144, Issue 2
Abstract
For the simulation of fluctuating wind velocity field with processes, the existing spectral representation method requires a total of executions of the fast Fourier transform (FFT) algorithm. This requirement is found to be computationally expensive for large structures where the number of processes becomes very large. An efficient spectral-representation-based method is proposed for the simulation of stochastic wind velocity field using Fourier-Stieltjes integral and polynomial decomposition of order . The proposed approach is very efficient because only executions of the FFT algorithm are required. Numerical investigations involving the simulation of stochastic wind velocities along the deck of a bridge show that the order of the polynomial decomposition is very small compared to the number of processes , and more than 50% of computation time can be saved for the simulation of 100 processes.
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Acknowledgments
The research described in this paper was supported by the National Natural Science Foundation of China (U1334201; 51408503; 51525804), the National Basic Research Program of China (2013CB036206), and the Sichuan Province Youth Science and Technology Innovation Team (2015TD0004).
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Published In
Journal of Engineering Mechanics
Volume 144 • Issue 2 • February 2018
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jun 29, 2016
Accepted: Jul 27, 2017
Published online: Dec 4, 2017
Published in print: Feb 1, 2018
Discussion open until: May 4, 2018
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