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- W3026384018 abstract "Abstract The joint distribution of successive wave periods plays a very important role in the study of resonant effects on coastal and marine structures. Until recently, studies on the statistics of consecutive periods have almost exclusively focused on single-wave systems. This paper proposes a parametric model established from a combination of a mixture lognormal distribution and Gaussian copula to describe individual successive wave periods in combined sea states. This new model, together with two additional distributions based on the conditional modelling method and the copula function, respectively, are compared, with reference to secondary wave data collected in laboratory experiments and simulated data obtained by a six-parameter Ochi-Hubble model. Nine types of combined sea states are considered and discussed. The conditional probability of the wave period, given by the previous wave period, is used to assess the application of the adopted models to the resonance study. Conventional models are unsuitable when the patterns exhibit multimodal characteristics and involve two-wave systems whose spectral peaks are widely separated. The mixture model provides a more accurate description of the bivariate distribution and improved performance in the analysis of the resonant effects on marine structures than the other two approaches." @default.
- W3026384018 created "2020-05-29" @default.
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- W3026384018 date "2020-09-01" @default.
- W3026384018 modified "2023-09-27" @default.
- W3026384018 title "Bivariate copula modelling of successive wave periods in combined sea states" @default.
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- W3026384018 doi "https://doi.org/10.1016/j.ecss.2020.106860" @default.
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