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Fast simulation of multivariate nonstationary process and its application to extreme winds
AbstractSimulation of the devastating excitations such as the ground motion and transient extreme winds is an important task in the structural response analysis when it comes to the nonlinearity, system stochasticity, parametric excitations and so on. Although the classic spectral representation method (SRM) is widely used in the nonstationary process simulation, it suffers from lower efficiency due to the unavailability of use of fast Fourier transform (FFT). In this study, the classic SRM is extended to the nonstationary process with the time-varying coherence. Then, the FFT-aided and almost accurate simulation algorithm for the nonstationary process with the time-varying coherence is developed with the help of the proper orthogonal decomposition (POD) which is used to factorize the decomposed evolutionary spectra. Especially, the more efficient simulation for the nonstationary process with time-invariant coherence is also proposed, where the spectral matrix decomposition, use of POD and execution of FFT can be reduced significantly. Two examples including downburst and typhoon winds are employed to evaluate the accuracy and efficiency of the proposed method. Results show that the method has the good performance in terms of the efficiency and accuracy.
HighlightsFast simulation for nonstationary process with time-varying coherence is developed.Faster method for nonstationary process with time-invariant coherence is proposed.Two examples shows proposed approach works well in terms of accuracy and efficiency.
Fast simulation of multivariate nonstationary process and its application to extreme winds
AbstractSimulation of the devastating excitations such as the ground motion and transient extreme winds is an important task in the structural response analysis when it comes to the nonlinearity, system stochasticity, parametric excitations and so on. Although the classic spectral representation method (SRM) is widely used in the nonstationary process simulation, it suffers from lower efficiency due to the unavailability of use of fast Fourier transform (FFT). In this study, the classic SRM is extended to the nonstationary process with the time-varying coherence. Then, the FFT-aided and almost accurate simulation algorithm for the nonstationary process with the time-varying coherence is developed with the help of the proper orthogonal decomposition (POD) which is used to factorize the decomposed evolutionary spectra. Especially, the more efficient simulation for the nonstationary process with time-invariant coherence is also proposed, where the spectral matrix decomposition, use of POD and execution of FFT can be reduced significantly. Two examples including downburst and typhoon winds are employed to evaluate the accuracy and efficiency of the proposed method. Results show that the method has the good performance in terms of the efficiency and accuracy.
HighlightsFast simulation for nonstationary process with time-varying coherence is developed.Faster method for nonstationary process with time-invariant coherence is proposed.Two examples shows proposed approach works well in terms of accuracy and efficiency.
Fast simulation of multivariate nonstationary process and its application to extreme winds
Zhao, Ning (author) / Huang, Guoqing (author)
Journal of Wind Engineering and Industrial Aerodynamics ; 170 ; 118-127
2017-08-08
10 pages
Article (Journal)
Electronic Resource
English
Fast simulation of multivariate nonstationary process and its application to extreme winds
| Online Contents | 2017
Spectrum Models for Nonstationary Extreme Winds
| ASCE | 2015