4.6 Article

Simulation of Nonseparable Nonstationary Spatially Varying Ground Motions with an Enhanced Interpolation Approximation Approach

Journal

APPLIED SCIENCES-BASEL
Volume 12, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/app12136757

Keywords

nonstationary simulation; seismic motions; spectral representation method; interpolation; proper orthogonal decomposition

Funding

  1. National Natural Science Foundation of China [52108464]
  2. CRSRI Open Research Program [SN: CKWV2019733/KY]
  3. Dual Support Plan of Sichuan Agricultural University [2021993510]
  4. Research Funding for Supporting the PostdoctoralWorking in Chongqing [2020LY06]

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An enhanced interpolation approach is developed for simulating nonseparable nonstationary ground motions based on the spectral representation method, which reduces Cholesky decomposition time and optimizes FFT technique. The method achieves a balance between accuracy and efficiency, as confirmed by numerical examples.
An enhanced interpolation approach is developed for simulating nonseparable nonstationary ground motions on the basis of the spectral representation method, which mainly contains two steps of interpolations and an optimization. Firstly, the interpolation technique is utilized to reduce the Cholesky decomposition time of the lagged coherence matrix. The square root of the evolutionary power spectral density is then decoupled into several time and frequency discrete functions using the proper orthogonal decomposition (POD) interpolation technique, which results in the availability of the fast Fourier transform (FFT) technique in the simulation. Compared with existing decoupling schemes, the POD interpolation achieves a significant efficiency improvement with a slight accuracy reduction. Finally, the simulation formula is further optimized to reduce the number of FFT operations. The accuracy and efficiency of this method are verified with the numerical examples of nonstationary ground motions simulation. Results show that the error introduced by two-step interpolations is fairly small and the simulation agrees with the targets very well. Furthermore, the efficiency generating sample function is significantly enhanced.

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