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

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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Main Authors: Stephen Orimoloye, Harshinie Karunarathna, Dominic E. Reeve
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/7/3/79
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spelling doaj-1100c86c4c8646ebb47911bffdde6b282021-04-02T15:19:32ZengMDPI AGJournal of Marine Science and Engineering2077-13122019-03-01737910.3390/jmse7030079jmse7030079Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal SeasStephen Orimoloye0Harshinie Karunarathna1Dominic E. Reeve2Department of Civil Engineering, Energy & Environment Research Group, Zienkiewicz Centre for Computational Engineering, Swansea University, Swansea SA1 8EN, UKDepartment of Civil Engineering, Energy & Environment Research Group, Zienkiewicz Centre for Computational Engineering, Swansea University, Swansea SA1 8EN, UKDepartment of Civil Engineering, Energy & Environment Research Group, Zienkiewicz Centre for Computational Engineering, Swansea University, Swansea SA1 8EN, UKAn 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.https://www.mdpi.com/2077-1312/7/3/79energy distributionbimodal seasswell percentagesIH2VOFwave steepnessnon-linearities
collection DOAJ
language English
format Article
sources DOAJ
author Stephen Orimoloye
Harshinie Karunarathna
Dominic E. Reeve
spellingShingle Stephen Orimoloye
Harshinie Karunarathna
Dominic E. Reeve
Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas
Journal of Marine Science and Engineering
energy distribution
bimodal seas
swell percentages
IH2VOF
wave steepness
non-linearities
author_facet Stephen Orimoloye
Harshinie Karunarathna
Dominic E. Reeve
author_sort Stephen Orimoloye
title Effects of Swell on Wave Height Distribution of Energy-Conserved Bimodal Seas
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
publisher MDPI AG
series Journal of Marine Science and Engineering
issn 2077-1312
publishDate 2019-03-01
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.
topic energy distribution
bimodal seas
swell percentages
IH2VOF
wave steepness
non-linearities
url https://www.mdpi.com/2077-1312/7/3/79
work_keys_str_mv AT stephenorimoloye effectsofswellonwaveheightdistributionofenergyconservedbimodalseas
AT harshiniekarunarathna effectsofswellonwaveheightdistributionofenergyconservedbimodalseas
AT dominicereeve effectsofswellonwaveheightdistributionofenergyconservedbimodalseas
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