UQ is exploited to assess geometry-optimization research spaces and support the design of the optimization task. A set of prescribed geometries defines the research space through morphing. Karhunen-Loeve Expansion gives the total geometric variance and the geometric variability of each principal direction. This is used to compare different spaces and reduce their dimension and the computational costs. Finally, UQ methods identify the statistical properties of the relevant objectives. Hydrodynamic application in ship design is presented.

An Uncertainty Quantification approach to assess geometry-optimization research spaces through Karhunen-Loeve Expansion

Diez;Matteo;Peri;Daniele;Campana;Emilio Fortunato
2012

Abstract

UQ is exploited to assess geometry-optimization research spaces and support the design of the optimization task. A set of prescribed geometries defines the research space through morphing. Karhunen-Loeve Expansion gives the total geometric variance and the geometric variability of each principal direction. This is used to compare different spaces and reduce their dimension and the computational costs. Finally, UQ methods identify the statistical properties of the relevant objectives. Hydrodynamic application in ship design is presented.
2012
Istituto di iNgegneria del Mare - INM (ex INSEAN)
Uncertainty Quantification
Robust Design Optimization
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/218695
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact