symptotic Calculation of Wave Period Statistics in Non-Gaussian Mixed Sea

doi:10.1007/s12204-013-1368-3

摘要/Abstract

摘要： This article concerns the calculation of the wave period probability densities in non-Gaussian mixed sea states. The calculations are carried out by incorporating a second order nonlinear wave model into an asymptotic analysis method which is a novel approach to the calculation of wave period probability densities. Since all of the calculations are performed in the probability domain, the approach avoids long time-domain simulations. The accuracy and efficiency of the asymptotic analysis method for calculating the wave period probability densities are validated by comparing the results predicted using the method with those predicted by using the Monte-Carlo simulation (MCS) method.

关键词: wave period statistics, mixed sea state, nonlinear wave model, asymptotic method, simulation

Abstract: This article concerns the calculation of the wave period probability densities in non-Gaussian mixed sea states. The calculations are carried out by incorporating a second order nonlinear wave model into an asymptotic analysis method which is a novel approach to the calculation of wave period probability densities. Since all of the calculations are performed in the probability domain, the approach avoids long time-domain simulations. The accuracy and efficiency of the asymptotic analysis method for calculating the wave period probability densities are validated by comparing the results predicted using the method with those predicted by using the Monte-Carlo simulation (MCS) method.

Key words: wave period statistics, mixed sea state, nonlinear wave model, asymptotic method, simulation

中图分类号:

TV 139.2

WANG Ying-guanga,b* (王迎光), XIA Yi-qinga (夏一青). symptotic Calculation of Wave Period Statistics in Non-Gaussian Mixed Sea[J]. 上海交通大学学报（英文版）, 2013, 18(1): 54-60.

WANG Ying-guanga,b* (王迎光), XIA Yi-qinga (夏一青). symptotic Calculation of Wave Period Statistics in Non-Gaussian Mixed Sea[J]. Journal of shanghai Jiaotong University (Science), 2013, 18(1): 54-60.

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