The new technique that combines wave superposition with the fast Fourier transformation was introduced to simulate the nodal three-dimension relevant wind velocity time series of spatial structures. The wind velocity ...The new technique that combines wave superposition with the fast Fourier transformation was introduced to simulate the nodal three-dimension relevant wind velocity time series of spatial structures. The wind velocity field where the spatial structure is located is assumed to be homogeneous. The wind’s power spectral density is divided into frequency spectral function and coherency function and the spectral functions are transformed as the superposition coefficients. The wavelet analysis has excellent localized characters in both time and frequency domains, which not only makes wind velocity time series analysis more accurate, but also can focus on any detail of the objective signal series. The discrete wavelet transformation was adopted to decompose and reconstruct the discrete wind velocity time series. The stability of wavelet analysis for the wind velocity time series was also proved.展开更多
This paper uses Jin Xing( 2004,2005) and Ma Qiang's( 2003) real-time time-domain methods to simulate and compare both the broadband strong motion acceleration and velocity records measured at the same stations in ...This paper uses Jin Xing( 2004,2005) and Ma Qiang's( 2003) real-time time-domain methods to simulate and compare both the broadband strong motion acceleration and velocity records measured at the same stations in the Liaoning Telemetered Digital Seismic Network. The results show that we can get actual velocity and displacement time histories by simulating broadband acceleration records. The acceleration and displacement time histories also may be obtained by simulating broadband velocity records. This indicates that strong motion observations and seismometer observations can be substituted for each other in a certain range.展开更多
文摘The new technique that combines wave superposition with the fast Fourier transformation was introduced to simulate the nodal three-dimension relevant wind velocity time series of spatial structures. The wind velocity field where the spatial structure is located is assumed to be homogeneous. The wind’s power spectral density is divided into frequency spectral function and coherency function and the spectral functions are transformed as the superposition coefficients. The wavelet analysis has excellent localized characters in both time and frequency domains, which not only makes wind velocity time series analysis more accurate, but also can focus on any detail of the objective signal series. The discrete wavelet transformation was adopted to decompose and reconstruct the discrete wind velocity time series. The stability of wavelet analysis for the wind velocity time series was also proved.
基金funded by the postgraduate fund of Earthquake Administration of Liaoning Province,China(LNDZBSJJ002)
文摘This paper uses Jin Xing( 2004,2005) and Ma Qiang's( 2003) real-time time-domain methods to simulate and compare both the broadband strong motion acceleration and velocity records measured at the same stations in the Liaoning Telemetered Digital Seismic Network. The results show that we can get actual velocity and displacement time histories by simulating broadband acceleration records. The acceleration and displacement time histories also may be obtained by simulating broadband velocity records. This indicates that strong motion observations and seismometer observations can be substituted for each other in a certain range.
