dc.contributor.author | Takami, Tomoki | |
dc.contributor.author | Nielsen, Ulrik Dam | |
dc.contributor.author | Jensen, Jørgen Juncher | |
dc.date.accessioned | 2022-07-05T07:28:07Z | |
dc.date.available | 2022-07-05T07:28:07Z | |
dc.date.created | 2021-11-26T07:56:13Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Ocean Engineering. 2021, 221 . | en_US |
dc.identifier.issn | 0029-8018 | |
dc.identifier.uri | https://hdl.handle.net/11250/3002667 | |
dc.description.abstract | This paper studies real-time deterministic prediction of wave-induced ship motions using the autocorrelation functions (ACFs) from short-time measurements, namely the instantaneous ACFs. The Prolate Spheroidal Wave Functions (PSWF) are introduced to correct the large lag time errors in the instantaneous sample ACF, together with a modification of the autocorrelation (AC) matrix for ensuring its positive definiteness. The validity of the PSWF-based ACFs is first examined by using the ship motion measurements from model experiment under stationary wave excitations. It is shown that the use of PSWF-based ACFs leads to better prediction accuracy than direct use of sample ACFs. The validation is then extended to ship motion prediction using in-service data from a container ship, and an improvement of the prediction accuracy by PSWF-based ACFs is again found. Finally, the effectiveness of use of the instantaneous ACFs for non-stationary wave-induced responses is highlighted by comparing with the prediction results based on the ACFs from long-time measurements. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Real-time deterministic prediction of wave-induced ship responses based on short-time measurements | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | This is the authors' accepted manuscript to an article published by Elsevier. | en_US |
dc.source.pagenumber | 19 | en_US |
dc.source.volume | 221 | en_US |
dc.source.journal | Ocean Engineering | en_US |
dc.identifier.doi | 10.1016/j.oceaneng.2020.108503 | |
dc.identifier.cristin | 1959472 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |