Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

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

Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Uncertainty Quantification; Robust Design Optimization
List of contributors:
Diez, Matteo; Campana, EMILIO FORTUNATO; Peri, Daniele
Authors of the University:
CAMPANA EMILIO FORTUNATO
DIEZ MATTEO
PERI DANIELE
Handle:
https://iris.cnr.it/handle/20.500.14243/218695
Book title:
UQ '12: SIAM Conference on Uncertainty Quantification
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)