Optimized Mooring Line Simulation Using a Hybrid Method Time Domain Scheme

Niels Hørbye Christiansen, Per Erlend Torbergsen Voie, Jan Høgsberg, Nils Sodahl

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 33rd International Conference on Ocean, Offshore and Arctic Engineering : Offshore Technology
Number of pages10
Volume1B
PublisherAmerican Society of Mechanical Engineers
Publication date2014
Article numberOMAE2014-23939
ISBN (Print)978-0-7918-4538-7
DOIs
Publication statusPublished - 2014
Event33rd International Conference on Ocean, Offshore and Arctic Engineering - San Francisco, CA, United States
Duration: 8 Jun 201413 Jun 2014
http://www.asmeconferences.org/OMAE2014/

Conference

Conference33rd International Conference on Ocean, Offshore and Arctic Engineering
CountryUnited States
CitySan Francisco, CA
Period08/06/201413/06/2014
Internet address

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