An Uncertainty Quantification approach to assess geometry-optimization research spaces through Karhunen-Loeve Expansion (Contributo in atti di convegno)

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Label
  • An Uncertainty Quantification approach to assess geometry-optimization research spaces through Karhunen-Loeve Expansion (Contributo in atti di convegno) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Alternative label
  • Diez, Matteo, Peri, Daniele, Stern, Frederick, Campana, Emilio Fortunato (2012)
    An Uncertainty Quantification approach to assess geometry-optimization research spaces through Karhunen-Loeve Expansion
    in UQ '12: SIAM Conference on Uncertainty Quantification, Raleigh - North Carolina - USA, 2-4 Aprile 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Diez, Matteo, Peri, Daniele, Stern, Frederick, Campana, Emilio Fortunato (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • UQ '12: SIAM Conference on Uncertainty Quantification (literal)
Note
  • PuM (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-INSEAN, Roma - Istituto Nazionale per Studi ed Esperienze di Architettura Navale IIHR-Hydroscience & Engineering, The University of Iowa, IA, USA (literal)
Titolo
  • An Uncertainty Quantification approach to assess geometry-optimization research spaces through Karhunen-Loeve Expansion (literal)
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. (literal)
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