dc.contributor.author | Gavrilin, Sergey | |
dc.contributor.author | Steen, Sverre | |
dc.date.accessioned | 2017-10-27T10:58:37Z | |
dc.date.available | 2017-10-27T10:58:37Z | |
dc.date.created | 2017-10-12T13:33:04Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Applied Ocean Research. 2017, 66 178-184. | nb_NO |
dc.identifier.issn | 0141-1187 | |
dc.identifier.uri | http://hdl.handle.net/11250/2462565 | |
dc.description.abstract | This paper describes how simplified auxiliary models—metamodels—can be used to create benchmarks for validating ship manoeuvring simulation models. A metamodel represents ship performance for a limited range of parameters, such as rudder angles and surge velocity. In contrast to traditional system identification methods, metamodels are identified from multiple trial recordings, each containing data on the ship’s inherent dynamics (similar for all trials) and random disturbances such as environmental effects and slightly different loading conditions. Thus, metamodels can be used to obtain these essential data, where simple averaging is not possible. In addition, metamodels are used to represent a ship’s behaviour and not to obtain physical insights into ship dynamics. The experimental trials used for the identification of metamodels can be found in in-service recorded data. After the metamodel is identified, it is used to simulate trials without substantial deviations from the ship state parameters used for the identification. Subsequently, the predictions of the metamodels are compared with the predictions of a tested manoeuvring simulation model. We present two case studies to demonstrate the application of metamodels for moderate turning motions of two ships. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Validation of ship manoeuvring models using metamodels | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 178-184 | nb_NO |
dc.source.volume | 66 | nb_NO |
dc.source.journal | Applied Ocean Research | nb_NO |
dc.identifier.doi | 10.1016/j.apor.2017.06.003 | |
dc.identifier.cristin | 1504156 | |
dc.relation.project | Norges forskningsråd: 225141 | nb_NO |
dc.description.localcode | © 2017. This is the authors’ accepted and refereed manuscript to the article. LOCKED until 26.6.2019 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | nb_NO |
cristin.unitcode | 194,64,20,0 | |
cristin.unitname | Institutt for marin teknikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |