Wave Height Distribution in Mixed Sea States

Author:

Rodriguez German1,Soares C. Guedes2,Pacheco Mercedes3,Pe´rez-Martell E.3

Affiliation:

1. Department of Physics, University of Las Palmas de Gran, Canaria, 35017, Spain

2. Unit of Marine Technology and Engineering, Instituto Superior Te´cnico, 1049-001 Lisboa, Portugal

3. Department of Physics University of Las Palmas de Gran Canaria, 35017, Spain

Abstract

The statistical distribution of zero-crossing wave heights in Gaussian mixed sea states is examined by analyzing numerically simulated data. Nine different kinds of bimodal scalar spectra are used to study the effects of the relative energy ratio and the peak frequency separation between the low and high frequency wave fields on the wave height distribution. Observed results are compared with predictions of probabilistic models adopted in practice. Comparisons of the empirical data with relevant probabilistic models reveals that the Rayleigh model systematically overestimates the number of observed wave heights larger than the mean wave height, except for one of the cases analyzed. None of the models used to predict the observed exceedance probabilities is able to characterize adequately all cases of bimodal sea states examined here.

Publisher

ASME International

Subject

Mechanical Engineering,Ocean Engineering

Reference24 articles.

1. Titov, L. F., 1969, Wind-Driven Waves, Israel Program for Scientific Translations, Jerusalem.

2. Thompson, E. F., 1980, “Energy Spectra in Shallow U.S. Coastal Waters,” Tech. Paper 80-2, U.S. Army, Corps of Engineers, Coastal Engineering Research Centre.

3. Cummings, W. E., Bales, S. L., and Gentile, D. M., 1981, “Hindcasting Waves for Engineering Applications,” Proc. Int. Symp. on Hydrodynamics in Ocean Eng., Trondheim, Vol. 1, pp. 70–89.

4. Guedes Soares, C. , 1984, “Representation of Double-Peaked Sea Wave Spectra,” Ocean Eng., 11, 185–207.

5. Aranuvachapun, S. , 1987, “Parameters of the Jonswap Spectral Model for Surface Gravity Waves-II Predictability from Real Data,” Ocean Eng., 14, pp. 101–115.

Cited by 42 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3