期刊
PROBABILISTIC ENGINEERING MECHANICS
卷 23, 期 4, 页码 393-407出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.probengmech.2007.09.001
关键词
Non-Gaussian stochastic fields and processes; Spectral Representation Method; Translation fields and processes; Simulation
A methodology is presented for simulation of strongly non-Gaussian random fields. It involves an iterative scheme that produces sample functions that match a prescribed non-Gaussian marginal distribution and a prescribed Spectral Density Function (SDF). The simulated field possesses all the properties of translation fields. The methodology also determines the SDF of an underlying Gaussian field according to translation field theory. This is the latest development in a class of simulation algorithms that are presented and critically reviewed. Several numerical examples are provided demonstrating the capabilities of the methodology, comparing it with three previous algorithms, and determining the limits of its applicability. Compared to earlier algorithms, the proposed methodology provides increased accuracy at a fraction of the Computational cost. (C) 2008 Elsevier Ltd. All rights reserved.
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