Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
FFT-Enhanced 4th-Order Spectral Representation Method: Simulating Non-Gaussian Wind Pressures
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
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
Lecture Notes in Civil Engineering
Liu, TianQiao (Herausgeber:in) / Liu, Enlong (Herausgeber:in) / Li, Xin (Autor:in) / Li, Shaopeng (Autor:in) / Jiang, Yan (Autor:in)
International Conference on Advanced Civil Engineering and Smart Structures ; 2023 ; Chengdu, China
14.03.2024
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Spectral representation with non-Gaussian random variables
| British Library Conference Proceedings | 2005
Spectral Representation for a Class of Non-Gaussian Processes
| Online Contents | 2004