Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1013383
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dc.contributor.authorPinheiro, L.pt_BR
dc.contributor.authorFortes, C. J. E. M.pt_BR
dc.contributor.authorReis, M. T. L. G. V.pt_BR
dc.contributor.authorSantos, J. A.pt_BR
dc.contributor.authorGuedes Soares, C.pt_BR
dc.date.accessioned2021-01-08T11:06:16Zpt_BR
dc.date.accessioned2021-02-02T15:52:11Z-
dc.date.available2021-01-08T11:06:16Zpt_BR
dc.date.available2021-02-02T15:52:11Z-
dc.date.issued2020-12pt_BR
dc.identifier.citationhttps://journals.tdl.org/icce/index.php/icce/issue/view/379pt_BR
dc.identifier.isbn978-0-9896611-5-7pt_BR
dc.identifier.urihttps://repositorio.lnec.pt/jspui/handle/123456789/1013383-
dc.description.abstractPort terminals downtimes lead to large economic losses and largely affect the port’s overall competitiveness. In the majority of cases, port activities such as ships’ approach maneuvers and loading/unloading operations, are conditioned or suspended, based solely on weather or wave forecasts. These forecasts do not always result in effective hazardous conditions for the ships. Additionally, moored ships often experience problems of excessive movements and mooring forces in apparent good weather conditions. If, instead, one could forecast the ships’ movements and mooring forces, risk assessment would be much more accurate. This would allow selecting an appropriate reinforced mooring arrangement and thus minimizing effective terminal downtime. In this paper, the development of a risk forecast system for moored ships, that takes into account all of the moored ship’s system, is detailed and an illustration on how it applies to real ports is presented. The system was first developed to the Praia da Vitória Port (Pinheiro et al. 2018), followed by the ports of S. Roque do Pico and Madalena do Pico, in the Azores archipelago and is now being developed for the port of Sines, Portugal.pt_BR
dc.language.isoengpt_BR
dc.publisherUniversity of Southern California, USApt_BR
dc.relationPO INTERREG MAC 2014-2020pt_BR
dc.relationECOMARPORTpt_BR
dc.relationPTDC/EAM-OCE/31207/2017pt_BR
dc.rightsrestrictedAccesspt_BR
dc.subjectForecast systempt_BR
dc.subjectMoored shipspt_BR
dc.subjectWavespt_BR
dc.subjectPortspt_BR
dc.subjectAzorespt_BR
dc.titleRisk forecast system for moored shipspt_BR
dc.typeworkingPaperpt_BR
dc.identifier.localVirtual Conferencept_BR
dc.description.volumeNo 36v (2020)pt_BR
dc.description.sectorDHA/NPEpt_BR
dc.description.magazineProceedings of virtual Conference on Coastal Engineering, 2020pt_BR
dc.identifier.conftitleInternational Conference on Coastal Engineering (ICCE), 2020pt_BR
dc.contributor.peer-reviewedSIMpt_BR
dc.contributor.academicresearchersSIMpt_BR
dc.contributor.arquivoNAOpt_BR
Appears in Collections:DHA/NPE - Comunicações a congressos e artigos de revista

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