Generation of multivariate wave conditions as input for a probabilistic level III breakwater design
For an offshore LNG project situated in the estuary of the Rio de la Plata nearby Montevideo, Uruguay, it was required to verify the deterministic design of the protective rubble mound breakwater and the jetty infrastructure with a level three probabilistic design. Therefore, in first instance extre...
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ftunivgent:oai:archive.ugent.be:8765027 2023-06-11T04:07:24+02:00 Generation of multivariate wave conditions as input for a probabilistic level III breakwater design Mercelis, Peter Dufour, Marc Gebelin, Ariel Alvarez Gruwez, Vincent Doorme, Sarah Sas, Marc Leyssen, Gert 2014 https://biblio.ugent.be/publication/8765027 http://hdl.handle.net/1854/LU-8765027 eng eng ASME https://biblio.ugent.be/publication/8765027 http://hdl.handle.net/1854/LU-8765027 33RD INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2014, VOL 4B ISBN: 9780791845431 Technology and Engineering conference info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion 2014 ftunivgent 2023-05-10T22:50:31Z For an offshore LNG project situated in the estuary of the Rio de la Plata nearby Montevideo, Uruguay, it was required to verify the deterministic design of the protective rubble mound breakwater and the jetty infrastructure with a level three probabilistic design. Therefore, in first instance extreme site conditions were required both in front of and behind the breakwater. To obtain these conditions, the first step is to extrapolate the offshore variables in order to translate them to the breakwater location. All the possible combinations of extreme wind, water level and waves are quantified with a probability of occurrence. A combination of univariate extreme value distributions, copula's and regression is used to describe the multivariate statistical behaviour of the offshore variables. The main variable is the wind velocity, as in the area of concern extreme wave conditions are wind driven. The secondary variable is water level. Wind velocity and water levels are only correlated for some wind directions. For these directions, wind velocity and water level extreme value distributions are linked through a multivariate Gumbel Copula. The wave height at the model boundaries was taken into account by a regression function with the extreme wind velocity at the offshore location and the wave period by a regression function with the wave height. This way 1515 synthetic events were selected and simulated with the spectral wave model SWAN, each of which a frequency of occurrence is calculated for. However, due to refraction and diffiaction effects of the approach channel (in the area of concern water depths are limited to about 7 m and the navigation channel has a depth of about 14 m), the port basin and the breakwater itself, the spectral wave model SWAN is not sufficient to accurately calculate the local wave conditions in the entire area of interest. Therefore a non-linear Boussinesq wave model (i.e. Mike 21 BW) was set up in addition, using input from the spectral model at the boundary and including the navigation ... Conference Object Arctic Ghent University Academic Bibliography Breakwater ENVELOPE(-63.233,-63.233,-64.800,-64.800) The Breakwater ENVELOPE(-36.583,-36.583,-54.200,-54.200) Uruguay |
institution |
Open Polar |
collection |
Ghent University Academic Bibliography |
op_collection_id |
ftunivgent |
language |
English |
topic |
Technology and Engineering |
spellingShingle |
Technology and Engineering Mercelis, Peter Dufour, Marc Gebelin, Ariel Alvarez Gruwez, Vincent Doorme, Sarah Sas, Marc Leyssen, Gert Generation of multivariate wave conditions as input for a probabilistic level III breakwater design |
topic_facet |
Technology and Engineering |
description |
For an offshore LNG project situated in the estuary of the Rio de la Plata nearby Montevideo, Uruguay, it was required to verify the deterministic design of the protective rubble mound breakwater and the jetty infrastructure with a level three probabilistic design. Therefore, in first instance extreme site conditions were required both in front of and behind the breakwater. To obtain these conditions, the first step is to extrapolate the offshore variables in order to translate them to the breakwater location. All the possible combinations of extreme wind, water level and waves are quantified with a probability of occurrence. A combination of univariate extreme value distributions, copula's and regression is used to describe the multivariate statistical behaviour of the offshore variables. The main variable is the wind velocity, as in the area of concern extreme wave conditions are wind driven. The secondary variable is water level. Wind velocity and water levels are only correlated for some wind directions. For these directions, wind velocity and water level extreme value distributions are linked through a multivariate Gumbel Copula. The wave height at the model boundaries was taken into account by a regression function with the extreme wind velocity at the offshore location and the wave period by a regression function with the wave height. This way 1515 synthetic events were selected and simulated with the spectral wave model SWAN, each of which a frequency of occurrence is calculated for. However, due to refraction and diffiaction effects of the approach channel (in the area of concern water depths are limited to about 7 m and the navigation channel has a depth of about 14 m), the port basin and the breakwater itself, the spectral wave model SWAN is not sufficient to accurately calculate the local wave conditions in the entire area of interest. Therefore a non-linear Boussinesq wave model (i.e. Mike 21 BW) was set up in addition, using input from the spectral model at the boundary and including the navigation ... |
format |
Conference Object |
author |
Mercelis, Peter Dufour, Marc Gebelin, Ariel Alvarez Gruwez, Vincent Doorme, Sarah Sas, Marc Leyssen, Gert |
author_facet |
Mercelis, Peter Dufour, Marc Gebelin, Ariel Alvarez Gruwez, Vincent Doorme, Sarah Sas, Marc Leyssen, Gert |
author_sort |
Mercelis, Peter |
title |
Generation of multivariate wave conditions as input for a probabilistic level III breakwater design |
title_short |
Generation of multivariate wave conditions as input for a probabilistic level III breakwater design |
title_full |
Generation of multivariate wave conditions as input for a probabilistic level III breakwater design |
title_fullStr |
Generation of multivariate wave conditions as input for a probabilistic level III breakwater design |
title_full_unstemmed |
Generation of multivariate wave conditions as input for a probabilistic level III breakwater design |
title_sort |
generation of multivariate wave conditions as input for a probabilistic level iii breakwater design |
publisher |
ASME |
publishDate |
2014 |
url |
https://biblio.ugent.be/publication/8765027 http://hdl.handle.net/1854/LU-8765027 |
long_lat |
ENVELOPE(-63.233,-63.233,-64.800,-64.800) ENVELOPE(-36.583,-36.583,-54.200,-54.200) |
geographic |
Breakwater The Breakwater Uruguay |
geographic_facet |
Breakwater The Breakwater Uruguay |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
33RD INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2014, VOL 4B ISBN: 9780791845431 |
op_relation |
https://biblio.ugent.be/publication/8765027 http://hdl.handle.net/1854/LU-8765027 |
_version_ |
1768380559436808192 |