DSpace Repository

Risk forecast system for moored ships

Show simple item record

dc.contributor.author Pinheiro, L. pt_BR
dc.contributor.author Fortes, C. J. E. M. pt_BR
dc.contributor.author Reis, M. T. L. G. V. pt_BR
dc.contributor.author Santos, J. A. pt_BR
dc.contributor.author Guedes Soares, C. pt_BR
dc.date.accessioned 2021-01-08T11:06:16Z pt_BR
dc.date.accessioned 2021-02-02T15:52:11Z
dc.date.available 2021-01-08T11:06:16Z pt_BR
dc.date.available 2021-02-02T15:52:11Z
dc.date.issued 2020-12 pt_BR
dc.identifier.citation https://journals.tdl.org/icce/index.php/icce/issue/view/379 pt_BR
dc.identifier.isbn 978-0-9896611-5-7 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1013383
dc.description.abstract Port 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.iso eng pt_BR
dc.publisher University of Southern California, USA pt_BR
dc.relation PO INTERREG MAC 2014-2020 pt_BR
dc.relation ECOMARPORT pt_BR
dc.relation PTDC/EAM-OCE/31207/2017 pt_BR
dc.rights restrictedAccess pt_BR
dc.subject Forecast system pt_BR
dc.subject Moored ships pt_BR
dc.subject Waves pt_BR
dc.subject Ports pt_BR
dc.subject Azores pt_BR
dc.title Risk forecast system for moored ships pt_BR
dc.type workingPaper pt_BR
dc.identifier.local Virtual Conference pt_BR
dc.description.volume No 36v (2020) pt_BR
dc.description.sector DHA/NPE pt_BR
dc.description.magazine Proceedings of virtual Conference on Coastal Engineering, 2020 pt_BR
dc.identifier.conftitle International Conference on Coastal Engineering (ICCE), 2020 pt_BR
dc.contributor.peer-reviewed SIM pt_BR
dc.contributor.academicresearchers SIM pt_BR
dc.contributor.arquivo NAO pt_BR


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account