The design of efficient seagoing vessels is key to a sustainable blue growth. Computer simulations are routinely used to explore different designs, but a reliable analysis must take into account the unavoidable uncertainties that are intrinsic to the maritime environment. We investigated two ways of performing this analysis in an effective, CPU-time parsimonious way.

Computational approaches for uncertainty quantification of naval engineering problems

R Broglia;M Diez;L Tamellini
2020

Abstract

The design of efficient seagoing vessels is key to a sustainable blue growth. Computer simulations are routinely used to explore different designs, but a reliable analysis must take into account the unavoidable uncertainties that are intrinsic to the maritime environment. We investigated two ways of performing this analysis in an effective, CPU-time parsimonious way.
2020
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Istituto di iNgegneria del Mare - INM (ex INSEAN)
Inglese
123
24
25
2
https://ercim-news.ercim.eu/en123/special/computational-approaches-for-uncertainty-quantification-of-naval-engineering-problems
Naval engineering
Uncertainty Quantification
surrogate models
Pubblicato: 6 ottobre 2020 - OPEN ACCESS All authors, as identified in each article, retain copyright of their work.ERCIM News is licensed under a Creative Commons Attribution 4.0 International License (CC-BY) https://creativecommons.org/licenses/by/4.0/.
3
info:eu-repo/semantics/article
262
Broglia, R; Diez, M; Tamellini, L
01 Contributo su Rivista::01.01 Articolo in rivista
open
   HOLIstic optimisation of SHIP design and operation for life cycle
   HOLISHIP
   H2020
   689074
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/418548
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