Transformation of Water Wave Spectra into Time Series of Surface Elevation
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/233737 |
Resumo: | Spectral wave modelling is widely used to simulate large-scale wind–wave processes due to its low computation cost and relatively simpler formulation, in comparison to phase-resolving or hydrodynamic models. However, some applications require a time-domain representation of sea waves. This article proposes a methodology to transform the wave spectrum into a time series of water surface elevation for applications that require a time-domain representation of ocean waves. The proposed method uses a generated phase spectrum and the inverse Fourier transform to turn the wave spectrum into a time series of water surface elevation. The consistency of the methodology is then verified. The results show that it is capable of correctly transforming the wave spectrum, and the significant wave height of the resulting time series is within 5% of that of the input spectrum. |
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Oleinik, Phelype HaronTavares, Gabriel PereiraMachado, Bianca NevesIsoldi, Liércio André2022-01-05T04:29:36Z20212673-4834http://hdl.handle.net/10183/233737001134121Spectral wave modelling is widely used to simulate large-scale wind–wave processes due to its low computation cost and relatively simpler formulation, in comparison to phase-resolving or hydrodynamic models. However, some applications require a time-domain representation of sea waves. This article proposes a methodology to transform the wave spectrum into a time series of water surface elevation for applications that require a time-domain representation of ocean waves. The proposed method uses a generated phase spectrum and the inverse Fourier transform to turn the wave spectrum into a time series of water surface elevation. The consistency of the methodology is then verified. The results show that it is capable of correctly transforming the wave spectrum, and the significant wave height of the resulting time series is within 5% of that of the input spectrum.application/pdfengEarth [recurso eletrônico]. Basel, Switzerland : MDPI AG, 2021. Vol. 2, n. 4 (2021), p. 997-1005.Transformada de FourierModelagem de ondasWave spectrumWave modellingFourier transformTransformation of Water Wave Spectra into Time Series of Surface ElevationEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001134121.pdf.txt001134121.pdf.txtExtracted Texttext/plain32015http://www.lume.ufrgs.br/bitstream/10183/233737/2/001134121.pdf.txta0e19f6f35c5f55d556263e5487e8146MD52ORIGINAL001134121.pdfTexto completo (inglês)application/pdf362900http://www.lume.ufrgs.br/bitstream/10183/233737/1/001134121.pdf0069603558eee5d0bf597972a54c8e66MD5110183/2337372022-02-22 04:59:21.602495oai:www.lume.ufrgs.br:10183/233737Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2022-02-22T07:59:21Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Transformation of Water Wave Spectra into Time Series of Surface Elevation |
title |
Transformation of Water Wave Spectra into Time Series of Surface Elevation |
spellingShingle |
Transformation of Water Wave Spectra into Time Series of Surface Elevation Oleinik, Phelype Haron Transformada de Fourier Modelagem de ondas Wave spectrum Wave modelling Fourier transform |
title_short |
Transformation of Water Wave Spectra into Time Series of Surface Elevation |
title_full |
Transformation of Water Wave Spectra into Time Series of Surface Elevation |
title_fullStr |
Transformation of Water Wave Spectra into Time Series of Surface Elevation |
title_full_unstemmed |
Transformation of Water Wave Spectra into Time Series of Surface Elevation |
title_sort |
Transformation of Water Wave Spectra into Time Series of Surface Elevation |
author |
Oleinik, Phelype Haron |
author_facet |
Oleinik, Phelype Haron Tavares, Gabriel Pereira Machado, Bianca Neves Isoldi, Liércio André |
author_role |
author |
author2 |
Tavares, Gabriel Pereira Machado, Bianca Neves Isoldi, Liércio André |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Oleinik, Phelype Haron Tavares, Gabriel Pereira Machado, Bianca Neves Isoldi, Liércio André |
dc.subject.por.fl_str_mv |
Transformada de Fourier Modelagem de ondas |
topic |
Transformada de Fourier Modelagem de ondas Wave spectrum Wave modelling Fourier transform |
dc.subject.eng.fl_str_mv |
Wave spectrum Wave modelling Fourier transform |
description |
Spectral wave modelling is widely used to simulate large-scale wind–wave processes due to its low computation cost and relatively simpler formulation, in comparison to phase-resolving or hydrodynamic models. However, some applications require a time-domain representation of sea waves. This article proposes a methodology to transform the wave spectrum into a time series of water surface elevation for applications that require a time-domain representation of ocean waves. The proposed method uses a generated phase spectrum and the inverse Fourier transform to turn the wave spectrum into a time series of water surface elevation. The consistency of the methodology is then verified. The results show that it is capable of correctly transforming the wave spectrum, and the significant wave height of the resulting time series is within 5% of that of the input spectrum. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021 |
dc.date.accessioned.fl_str_mv |
2022-01-05T04:29:36Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/233737 |
dc.identifier.issn.pt_BR.fl_str_mv |
2673-4834 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001134121 |
identifier_str_mv |
2673-4834 001134121 |
url |
http://hdl.handle.net/10183/233737 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Earth [recurso eletrônico]. Basel, Switzerland : MDPI AG, 2021. Vol. 2, n. 4 (2021), p. 997-1005. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
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Universidade Federal do Rio Grande do Sul (UFRGS) |
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UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
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http://www.lume.ufrgs.br/bitstream/10183/233737/2/001134121.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/233737/1/001134121.pdf |
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1815447779657383936 |