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Computational approaches for uncertainty quantification of naval engineering problems

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Naval engineering; Uncertainty Quantification; surrogate models
List of contributors:
Diez, Matteo; Tamellini, Lorenzo; Broglia, Riccardo
Authors of the University:
BROGLIA RICCARDO
DIEZ MATTEO
TAMELLINI LORENZO
Handle:
https://iris.cnr.it/handle/20.500.14243/418548
Published in:
ERCIM NEWS
Journal
  • Overview

Overview

URL

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