Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme
Dynamic analyses of slender marine structures are computationally expensive. Recently it has been shown how a hybrid method which combines FEM models and artificial neural networks (ANN) can be used to reduce the computation time spend on the time domain simulations associated with fatigue analysis...
Published in: | Volume 1B: Offshore Technology |
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The American Society of Mechanical Engineers (ASME)
2014
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Online Access: | https://orbit.dtu.dk/en/publications/1f6611ec-93e5-4f94-b429-ae6d6c6b02ff https://doi.org/10.1115/omae2014-23939 |
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ftdtupubl:oai:pure.atira.dk:publications/1f6611ec-93e5-4f94-b429-ae6d6c6b02ff 2024-06-09T07:42:22+00:00 Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme Christiansen, Niels Hørbye Voie, Per Erlend Torbergsen Høgsberg, Jan Sodahl, Nils 2014 https://orbit.dtu.dk/en/publications/1f6611ec-93e5-4f94-b429-ae6d6c6b02ff https://doi.org/10.1115/omae2014-23939 eng eng The American Society of Mechanical Engineers (ASME) https://orbit.dtu.dk/en/publications/1f6611ec-93e5-4f94-b429-ae6d6c6b02ff urn:ISBN:978-0-7918-4538-7 info:eu-repo/semantics/restrictedAccess Christiansen , N H , Voie , P E T , Høgsberg , J & Sodahl , N 2014 , Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme . in Proceedings of the 33rd International Conference on Ocean, Offshore and Arctic Engineering : Offshore Technology . vol. 1B , OMAE2014-23939 , The American Society of Mechanical Engineers (ASME) , 33rd International Conference on Ocean, Offshore and Arctic Engineering , San Francisco, CA , United States , 08/06/2014 . https://doi.org/10.1115/omae2014-23939 /dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water contributionToPeriodical 2014 ftdtupubl https://doi.org/10.1115/omae2014-23939 2024-05-15T00:04:04Z Dynamic analyses of slender marine structures are computationally expensive. Recently it has been shown how a hybrid method which combines FEM models and artificial neural networks (ANN) can be used to reduce the computation time spend on the time domain simulations associated with fatigue analysis of mooring lines by two orders of magnitude. The present study shows how an ANN trained to perform nonlinear dynamic response simulation can be optimized using a method known as optimal brain damage (OBD) and thereby be used to rank the importance of all analysis input. Both the training and the optimization of the ANN are based on one short time domain simulation sequence generated by a FEM model of the structure. This means that it is possible to evaluate the importance of input parameters based on this single simulation only. The method is tested on a numerical model of mooring lines on a floating offshore installation. It is shown that it is possible to estimate the cost of ignoring one or more input variables in an analysis. Article in Journal/Newspaper Arctic Technical University of Denmark: DTU Orbit Volume 1B: Offshore Technology |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water |
spellingShingle |
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water Christiansen, Niels Hørbye Voie, Per Erlend Torbergsen Høgsberg, Jan Sodahl, Nils Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme |
topic_facet |
/dk/atira/pure/sustainabledevelopmentgoals/life_below_water name=SDG 14 - Life Below Water |
description |
Dynamic analyses of slender marine structures are computationally expensive. Recently it has been shown how a hybrid method which combines FEM models and artificial neural networks (ANN) can be used to reduce the computation time spend on the time domain simulations associated with fatigue analysis of mooring lines by two orders of magnitude. The present study shows how an ANN trained to perform nonlinear dynamic response simulation can be optimized using a method known as optimal brain damage (OBD) and thereby be used to rank the importance of all analysis input. Both the training and the optimization of the ANN are based on one short time domain simulation sequence generated by a FEM model of the structure. This means that it is possible to evaluate the importance of input parameters based on this single simulation only. The method is tested on a numerical model of mooring lines on a floating offshore installation. It is shown that it is possible to estimate the cost of ignoring one or more input variables in an analysis. |
format |
Article in Journal/Newspaper |
author |
Christiansen, Niels Hørbye Voie, Per Erlend Torbergsen Høgsberg, Jan Sodahl, Nils |
author_facet |
Christiansen, Niels Hørbye Voie, Per Erlend Torbergsen Høgsberg, Jan Sodahl, Nils |
author_sort |
Christiansen, Niels Hørbye |
title |
Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme |
title_short |
Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme |
title_full |
Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme |
title_fullStr |
Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme |
title_full_unstemmed |
Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme |
title_sort |
optimized mooring line simulation using a hybrid method time domain scheme |
publisher |
The American Society of Mechanical Engineers (ASME) |
publishDate |
2014 |
url |
https://orbit.dtu.dk/en/publications/1f6611ec-93e5-4f94-b429-ae6d6c6b02ff https://doi.org/10.1115/omae2014-23939 |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Christiansen , N H , Voie , P E T , Høgsberg , J & Sodahl , N 2014 , Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme . in Proceedings of the 33rd International Conference on Ocean, Offshore and Arctic Engineering : Offshore Technology . vol. 1B , OMAE2014-23939 , The American Society of Mechanical Engineers (ASME) , 33rd International Conference on Ocean, Offshore and Arctic Engineering , San Francisco, CA , United States , 08/06/2014 . https://doi.org/10.1115/omae2014-23939 |
op_relation |
https://orbit.dtu.dk/en/publications/1f6611ec-93e5-4f94-b429-ae6d6c6b02ff urn:ISBN:978-0-7918-4538-7 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1115/omae2014-23939 |
container_title |
Volume 1B: Offshore Technology |
_version_ |
1801371268886298624 |