期刊
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 159, 期 -, 页码 -出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2021.107789
关键词
Simulation; Nonstationary and non-Gaussian random; field; S-transform; Nonhomogeneous soil; Seismic ground motions
资金
- Natural Sciences and Engineering Research Council of Canada [RGPIN-2016-04814, RGPIN-2019-05160]
- China Scholarship Council [201707980007]
- University ofWestern Ontario
An iterative algorithm is proposed in this study to simulate multidimensional nonstationary and non-Gaussian random fields, which is efficient and converges quickly. The application of the algorithm is demonstrated through three numerical examples of practical interest.
In many cases, the probabilistic assessment of structure and infrastructure systems requires the modeling and simulation of nonstationary or nonhomogeneous and non-Gaussian random fields. In the present study, we propose an iterative algorithm to simulate multidimensional nonstationary and non-Gaussian random fields. It uses the S-transform that has the advantage of providing good time (or space) localized high frequency resolu-tion and good low frequency resolution. The algorithm iteratively adjusts time-frequency (or space-wavenumber) dependent power spectral density function of the nonstationary random field and the amplitude of the random field according to the marginal probability distribution of the field. The algorithm is efficient and usually converges within less than ten iterations for practical problems. The application of the proposed algorithm is shown by three numerical examples of practical interest. (c) 2021 Elsevier Ltd. All rights reserved.
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