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Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas

Stephen Orimoloye, Harshinie Karunarathna Orcid Logo, Dominic Reeve Orcid Logo

Journal of Marine Science and Engineering, Volume: 7, Issue: 3, Start page: 79

Swansea University Authors: Harshinie Karunarathna Orcid Logo, Dominic Reeve Orcid Logo

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DOI (Published version): 10.3390/jmse7030079

Abstract

An understanding of the wave height distribution of a sea state is important in forecasting extreme wave height and lifetime fatigue predictions of marine structures. In bimodal seas, swell can be present at different percentages and different frequencies while the energy content of the sea state re...

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Published in: Journal of Marine Science and Engineering
ISSN: 2077-1312
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa49923
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first_indexed 2019-04-08T10:16:45Z
last_indexed 2019-04-09T13:04:48Z
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spelling 2019-04-08T10:49:11.2049795 v2 49923 2019-04-08 Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas 0d3d327a240d49b53c78e02b7c00e625 0000-0002-9087-3811 Harshinie Karunarathna Harshinie Karunarathna true false 3e76fcc2bb3cde4ddee2c8edfd2f0082 0000-0003-1293-4743 Dominic Reeve Dominic Reeve true false 2019-04-08 CIVL An understanding of the wave height distribution of a sea state is important in forecasting extreme wave height and lifetime fatigue predictions of marine structures. In bimodal seas, swell can be present at different percentages and different frequencies while the energy content of the sea state remains unaltered. This computational study investigates how the wave height distribution is affected by different swell percentages and long swell periods in an energy-conserved bimodal sea both near a wave maker and in shallow water. A formulated energy-conserved bimodal spectrum was created from unimodal sea states and converted into random waves time series using the Inverse Fast Fourier Transform (IFFT). The resulting time series was used to drive a Reynolds-Averaged Navier Stokes computational (RANS) model. Wave height values were then extracted from the model results (both away near and near the structure) using down-crossing analysis to inspect the non-linearity imposed by wave-wave interactions and through transformations as they propagate into shallow waters near the structure. It is concluded that the kurtosis and skewness of the wave height distribution very inversely with the swell percentage and peak periods. Non-linearities are greater in the unimodal seas compared to the bimodal seas with the same energy content. Also, non-linearities are greater structure side than at wave maker and are more dependent on the phases of the component waves at different frequencies. Journal Article Journal of Marine Science and Engineering 7 3 79 2077-1312 energy distribution; bimodal seas; swell percentages; IH2VOF; wave steepness; non-linearities 31 12 2019 2019-12-31 10.3390/jmse7030079 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2019-04-08T10:49:11.2049795 2019-04-08T09:45:36.5882975 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Stephen Orimoloye 1 Harshinie Karunarathna 0000-0002-9087-3811 2 Dominic Reeve 0000-0003-1293-4743 3 0049923-08042019094833.pdf orimoloye2019v2.pdf 2019-04-08T09:48:33.6970000 Output 5075874 application/pdf Version of Record true 2019-04-08T00:00:00.0000000 true eng
title Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas
spellingShingle Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas
Harshinie Karunarathna
Dominic Reeve
title_short Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas
title_full Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas
title_fullStr Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas
title_full_unstemmed Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas
title_sort Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas
author_id_str_mv 0d3d327a240d49b53c78e02b7c00e625
3e76fcc2bb3cde4ddee2c8edfd2f0082
author_id_fullname_str_mv 0d3d327a240d49b53c78e02b7c00e625_***_Harshinie Karunarathna
3e76fcc2bb3cde4ddee2c8edfd2f0082_***_Dominic Reeve
author Harshinie Karunarathna
Dominic Reeve
author2 Stephen Orimoloye
Harshinie Karunarathna
Dominic Reeve
format Journal article
container_title Journal of Marine Science and Engineering
container_volume 7
container_issue 3
container_start_page 79
publishDate 2019
institution Swansea University
issn 2077-1312
doi_str_mv 10.3390/jmse7030079
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description An understanding of the wave height distribution of a sea state is important in forecasting extreme wave height and lifetime fatigue predictions of marine structures. In bimodal seas, swell can be present at different percentages and different frequencies while the energy content of the sea state remains unaltered. This computational study investigates how the wave height distribution is affected by different swell percentages and long swell periods in an energy-conserved bimodal sea both near a wave maker and in shallow water. A formulated energy-conserved bimodal spectrum was created from unimodal sea states and converted into random waves time series using the Inverse Fast Fourier Transform (IFFT). The resulting time series was used to drive a Reynolds-Averaged Navier Stokes computational (RANS) model. Wave height values were then extracted from the model results (both away near and near the structure) using down-crossing analysis to inspect the non-linearity imposed by wave-wave interactions and through transformations as they propagate into shallow waters near the structure. It is concluded that the kurtosis and skewness of the wave height distribution very inversely with the swell percentage and peak periods. Non-linearities are greater in the unimodal seas compared to the bimodal seas with the same energy content. Also, non-linearities are greater structure side than at wave maker and are more dependent on the phases of the component waves at different frequencies.
published_date 2019-12-31T04:01:11Z
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score 10.999524

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