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Computational approaches for uncertainty quantification of naval engineering problems

Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Naval engineering; Uncertainty Quantification; surrogate models
Elenco autori:
Diez, Matteo; Tamellini, Lorenzo; Broglia, Riccardo
Autori di Ateneo:
BROGLIA RICCARDO
DIEZ MATTEO
TAMELLINI LORENZO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/418548
Pubblicato in:
ERCIM NEWS
Journal
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URL

https://ercim-news.ercim.eu/en123/special/computational-approaches-for-uncertainty-quantification-of-naval-engineering-problems
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