Dimensionality reduction of full fields by the principal components analysis

Christian Gogu; Raphael Haftka; Rodolphe Le Riche; Jérôme Molimard; Alain Vautrin

Dimensionality reduction of full fields by the principal components analysis

Christian Gogu ^{1, 2, 3} Raphael Haftka ⁴ Rodolphe Le Riche ^{5, 6} Jérôme Molimard ^{1, 3} Alain Vautrin ^{1, 3}

1 MPE-ENSMSE - Département Mécanique et Procédés d'Elaboration

2 Département d'Ingénierie Mécanique et Aérospatiale

3 LTDS - Laboratoire de Tribologie et Dynamique des Systèmes

4 Department of Mechanical and Aerospace Engineering [Gainesville]

5 CROCUS-ENSMSE - Equipe : Calcul de Risque, Optimisation et Calage par Utilisation de Simulateurs

6 PECM-ENSMSE - Plasticité, Endommagement et Corrosion des Matériaux

Abstract : The principal components analysis is applied to simulated full field displacement maps of 4569 measurement points thus allowing representation of any field within a certain domain as a linear combination of five basis vectors without losing significant information. A dimensionality reduction from 4569 to only 5 is thus achieved.

Keywords : optical full field methods dimensionality reduction principal component analysis

Document type :

Conference papers

Domain :

Computer Science [cs] / Modeling and Simulation

Engineering Sciences [physics] / Mechanics [physics.med-ph]

Engineering Sciences [physics] / Materials

Complete list of metadatas

https://hal-emse.ccsd.cnrs.fr/emse-00686753
Contributor : Florent Breuil <>
Submitted on : Wednesday, April 11, 2012 - 10:46:36 AM
Last modification on : Wednesday, November 20, 2019 - 2:27:00 AM

Dimensionality reduction of full fields by the principal components analysis

Identifiers

Collections

Citation

Export

Metrics

210

Contact

Dimensionality reduction of full fields by the principal components analysis

Identifiers

Collections

Citation

Export

Share

Metrics

210

Contact