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• W2022821082 startingPage "T117" @default.
• W2022821082 abstract "Frequency responses of seismic wave propagation can be obtained either by directly solving the frequency domain wave equations or by transforming the time domain wavefields using the Fourier transform. The former approach requires solving systems of linear equations, which becomes progressively difficult to tackle for larger scale models and for higher frequency components. On the contrary, the latter approach can be efficiently implemented using explicit time integration methods in conjunction with running summations as the computation progresses. Commonly used explicit time integration methods correspond to the truncated Taylor series approximations that can cause significant errors for large time steps. The rapid expansion method (REM) uses the Chebyshev expansion and offers an optimal solution to the second-order-in-time wave equations. When applying the Fourier transform to the time domain wavefield solution computed by the REM, we can derive a frequency response modeling formula that has the same form as the original time domain REM equation but with different summation coefficients. In particular, the summation coefficients for the frequency response modeling formula corresponds to the Fourier transform of those for the time domain modeling equation. As a result, we can directly compute frequency responses from the Chebyshev expansion polynomials rather than the time domain wavefield snapshots as do other time domain frequency response modeling methods. When combined with the pseudospectral method in space, this new frequency response modeling method can produce spectrally accurate results with high efficiency." @default.
• W2022821082 created "2016-06-24" @default.
• W2022821082 creator A5009052097 @default.
• W2022821082 creator A5019376741 @default.
• W2022821082 date "2012-07-01" @default.
• W2022821082 modified "2023-09-26" @default.
• W2022821082 title "Efficient 3D frequency response modeling with spectral accuracy by the rapid expansion method" @default.
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• W2022821082 doi "https://doi.org/10.1190/geo2011-0415.1" @default.
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