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Novel Modeling for the Calculation of the Center of Lateral Resistance Position of Different Ships Making Use of a Full Mission Bridge Simulator and AI Tools
dc.contributor.author | Pérez-Canosa, José M. | |
dc.contributor.author | Orosa, José A. | |
dc.contributor.author | Lama Carballo, Francisco Javier | |
dc.contributor.author | Salgado Don, Alsira | |
dc.contributor.author | Cao Feijóo, Genaro | |
dc.contributor.author | Pacheco, Eliseo A. | |
dc.date.accessioned | 2024-09-09T14:31:59Z | |
dc.date.available | 2024-09-09T14:31:59Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Pérez-Canosa, J.M.; Lama-Carballo, F.J.; Salgado-Don, A.; Cao-Feijóo, G.; Pacheco, E.A.; Orosa, J.A. Novel Modeling for the Calculation of the Center of Lateral Resistance Position of Different Ships Making Use of a Full Mission Bridge Simulator and AI Tools. Journal of Marine Science and Engineering. 2024, 12, 1381. https://doi.org/ 10.3390/jmse12081381 | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/38923 | |
dc.description.abstract | [Abstract] Ship maneuvering in ports is increasingly reduced because the increase in ship size is not proportional to the increase in port areas. Furthermore, the number of assisted vessels and the need for tugboats working in densely populated areas make it necessary to reduce the number of involved tugboats, reducing pollution and costs. Therefore, shiphandlers must know, in addition to the pivot point, the center of lateral resistance under any circumstance to optimize the assistance from tugboats and improve maritime navigation. From the literature, it is evident that the practical determination of the center of lateral resistance is still unknown. This paper aims to propose novel mathematical models to identify the position of this point and the most important variables that determine its position. For that, data of different ships in different conditions were obtained from a full mission bridge simulator. Afterwards, 15 novel mathematical models were developed, making use of artificial intelligence tools and training neural networks. The high determination factor reached in some models shows the accuracy of the obtained models. One advantage of the presented models is that they are very easy to be applied by shiphandlers, because highly well-known parameters are involved. Moreover, original 3D charts showing the combination of the input variables were generated to identify the map of the whole process. The very simple new models obtained and the novel 3D charts shown in the present paper can be considered useful and applicable by the shiphandlers of most of the merchant fleet to improve the efficiency and safety of maritime navigation in increasingly restricted waters. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation.uri | https://doi.org/10.3390/jmse12081381 | es_ES |
dc.rights | Creative Commons Attribution (CC BY) license | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Full bridge and navigation simulator | es_ES |
dc.subject | Center of lateral resistance | es_ES |
dc.subject | Rate of turn | es_ES |
dc.subject | Mathematical models | es_ES |
dc.subject | Artificial intelligence | es_ES |
dc.title | Novel Modeling for the Calculation of the Center of Lateral Resistance Position of Different Ships Making Use of a Full Mission Bridge Simulator and AI Tools | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Journal of Marine Science and Engineering | es_ES |
UDC.volume | 12 | es_ES |
UDC.issue | 8 | es_ES |
UDC.startPage | Article 1381 | es_ES |
dc.identifier.doi | 10.3390/jmse12081381 |
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