期刊
PROBABILISTIC ENGINEERING MECHANICS
卷 17, 期 2, 页码 167-176出版社
ELSEVIER SCI LTD
DOI: 10.1016/S0266-8920(01)00037-6
关键词
stochastic processes; Karhunen-Loeve representation; beta marginal distribution; non-gaussian models
This paper presents a method for simulating multi-dimensional stochastic processes. The target process is specified by its marginal density function which can vary along the indexing set, and by its two point correlation function, which need not be stationary, The polynomial chaos expansion is used to match the marginal densities while the Karhunen-Loeve representation is used to fine tune the match of the correlation function. The resulting representation of the process is in the form of a polynomial chaos expansion, which can be readily realized. (C) 2002 Elsevier Science Ltd. All rights reserved.
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