Improved Spectral Representation Method for the Simulation of Stochastic Wind Velocity Field Based on FFT Algorithm and Polynomial Decomposition-Reference-Cited by-同舟云学术

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Improved Spectral Representation Method for the Simulation of Stochastic Wind Velocity Field Based on FFT Algorithm and Polynomial Decomposition

Published:2018-02 Issue:2 Volume:144 Page:04017171
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Togbenou Koffi¹,Xiang Huoyue²,Li Yongle³,Chen Ning⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Bridge Engineering, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China.

2. Lecturer, Dept. of Bridge Engineering, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China (corresponding author).

3. Professor, Dept. of Bridge Engineering, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China.

4. Lecturer, School of Civil Engineering, Hunan Univ. of Science and Technology, Xiangtan 411201, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0001400

Reference32 articles.

1. Simulation of wind velocities on long span structures: A novel stochastic wave based model

2. Simulation of Stochastic Wind Velocity Field on Long-Span Bridges

3. A deterministic–stochastic hybrid model of downbursts and its impact on a cantilevered structure

4. Simulation of Multivariate Stationary Gaussian Stochastic Processes: Hybrid Spectral Representation and Proper Orthogonal Decomposition Approach

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

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