Estimation of Wind-Sea and Swell Components in a Bimodal Sea State

Author:

Ewans K. C.1,Bitner-Gregersen E. M.2,Soares C. Guedes3

Affiliation:

1. Shell International Exploration and Production, Rijswijk, The Netherlands

2. Det Norske Veritas, N-1322 Hovik, Norway

3. Unit of Marine Technology and Engineering, Technical University of Lisbon, Instituto Superior Técnico, 1049-001 Lisboa, Portugal

Abstract

Methods for separating the spectral components and describing bimodal wave spectra are evaluated with reference to wave spectra from directional wave measurements made at the Maui location off the west coast of New Zealand. Two methods involve partitioning bimodal wave spectra into wind-sea and swell components and then fitting a spectral function to each component, while the third assigns an average spectral shape based on the integrated spectral parameters. The partitioning methods involve separating the wave spectrum into two frequency bands: a low-frequency peak, the swell component, and a high-frequency peak, the wind-sea. One partitioning method uses only the frequency spectrum while the other analyzes the complete frequency-direction spectrum. Comparison of the spectral descriptions and derived parameters against the measured counterparts provides insight into the accuracy of the different approaches to describing actual bimodal sea states.

Publisher

ASME International

Subject

Mechanical Engineering,Ocean Engineering

Reference17 articles.

1. Representation of Double-Peaked Sea Wave Spectra;Guedes Soares;Ocean Eng.

2. Joint Environmental Model for Reliability Calculations;Bitner-Gregersen

3. Ultimate Limit States with Combined Load Processes;Bitner-Gregersen

4. Effect of Double-Peaked Wave Spectra on the Behavior of Moored Semi-Submersibles;Yilmaz;Oceanic Eng. Int.

5. Oceanographic and Motion Response Statistics for the Operation of a Weathervaning LNG FPSO;Ewans

Cited by 53 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