期刊
PROBABILISTIC ENGINEERING MECHANICS
卷 22, 期 2, 页码 113-126出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.probengmech.2006.08.003
关键词
sea state; wind; nonlinear time series; simulation; model validation
The knowledge of sea state and wind conditions is of central importance for many offshore and nearshore operations. In this paper, we make a complete survey of stochastic models for sea state and wind time series. We begin with methods based on Gaussian processes, then non-parametric resampling methods for time series are introduced followed by various parametric models. We also propose an original statistical method, based on Monte Carlo goodness-of-fit tests, for model validation and comparison and this method is illustrated on an example of multivariate sea state time series. (C) 2006 Elsevier Ltd. All rights reserved.
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