FFT-Enhanced 4th-Order Spectral Representation Method: Simulating Non-Gaussian Wind Pressures: Fid-Bau Portal

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FFT-Enhanced 4th-Order Spectral Representation Method: Simulating Non-Gaussian Wind Pressures

Li, Xin / Li, Shaopeng / Jiang, Yan

In this work, a generalized fourth-order spectral representation method (SRM) is proposed for symmetrically non-linear non-Gaussian random processes. An analytical formula is derived to simulate the generalized fourth-order non-Gaussian random process. Another significant feature of this method is the efficient combination of the Fast Fourier Transform (FFT) with the fourth-order spectral representation, which provides an enhancement technique to significantly improve simulation efficiency. Finally, to validate the proposed method’s effectiveness, numerical simulations are carried out utilizing non-Gaussian wind pressure data acquired from wind tunnel experiments.

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FFT-Enhanced 4th-Order Spectral Representation Method: Simulating Non-Gaussian Wind Pressures

Li, Xin / Li, Shaopeng / Jiang, Yan

In this work, a generalized fourth-order spectral representation method (SRM) is proposed for symmetrically non-linear non-Gaussian random processes. An analytical formula is derived to simulate the generalized fourth-order non-Gaussian random process. Another significant feature of this method is the efficient combination of the Fast Fourier Transform (FFT) with the fourth-order spectral representation, which provides an enhancement technique to significantly improve simulation efficiency. Finally, to validate the proposed method’s effectiveness, numerical simulations are carried out utilizing non-Gaussian wind pressure data acquired from wind tunnel experiments.

FFT-Enhanced 4th-Order Spectral Representation Method: Simulating Non-Gaussian Wind Pressures

Li, Xin / Li, Shaopeng / Jiang, Yan

In this work, a generalized fourth-order spectral representation method (SRM) is proposed for symmetrically non-linear non-Gaussian random processes. An analytical formula is derived to simulate the generalized fourth-order non-Gaussian random process. Another significant feature of this method is the efficient combination of the Fast Fourier Transform (FFT) with the fourth-order spectral representation, which provides an enhancement technique to significantly improve simulation efficiency. Finally, to validate the proposed method’s effectiveness, numerical simulations are carried out utilizing non-Gaussian wind pressure data acquired from wind tunnel experiments.

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Title:

FFT-Enhanced 4th-Order Spectral Representation Method: Simulating Non-Gaussian Wind Pressures

Additional title:

Lecture Notes in Civil Engineering

Contributors:

Liu, TianQiao (editor) / Liu, Enlong (editor) / Li, Xin (author) / Li, Shaopeng (author) / Jiang, Yan (author)

Conference:

International Conference on Advanced Civil Engineering and Smart Structures ; 2023 ; Chengdu, China

Published in:

Proceedings of the 2nd International Conference on Advanced Civil Engineering and Smart Structures ; Chapter: 4 ; 32-39

Lecture Notes in Civil Engineering ; 474

Publication date:

2024-03-14

Size:

8 pages

ISBN:

978-981-97-1514-5 , 978-981-97-1513-8

ISSN:

2366-2565 , 2366-2557

DOI:

https://doi.org/10.1007/978-981-97-1514-5_4

Type of media:

Article/Chapter (Book)

Type of material:

Electronic Resource

Language:

English

Keywords:

Fourth-order SRM , Non-Gaussian random process , Wind pressures , Fast Fourier transform Engineering , Civil Engineering , Classical Mechanics

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