A goal-oriented field measurement filtering technique for the identification of material model parameters

Handle URI:
http://hdl.handle.net/10754/561421
Title:
A goal-oriented field measurement filtering technique for the identification of material model parameters
Authors:
Lubineau, Gilles ( 0000-0002-7370-6093 )
Abstract:
The post-processing of experiments with nonuniform fields is still a challenge: the information is often much richer, but its interpretation for identification purposes is not straightforward. However, this is a very promising field of development because it would pave the way for the robust identification of multiple material parameters using only a small number of experiments. This paper presents a goal-oriented filtering technique in which data are combined into new output fields which are strongly correlated with specific quantities of interest (the material parameters to be identified). Thus, this combination, which is nonuniform in space, constitutes a filter of the experimental outputs, whose relevance is quantified by a quality function based on global variance analysis. Then, this filter is optimized using genetic algorithms. © 2009 Springer-Verlag.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Physical Sciences and Engineering (PSE) Division; Mechanical Engineering Program; Composite and Heterogeneous Material Analysis and Simulation Laboratory (COHMAS)
Publisher:
Springer Verlag
Journal:
Computational Mechanics
Issue Date:
16-May-2009
DOI:
10.1007/s00466-009-0392-5
Type:
Article
ISSN:
01787675
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Mechanical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorLubineau, Gillesen
dc.date.accessioned2015-08-02T09:10:49Zen
dc.date.available2015-08-02T09:10:49Zen
dc.date.issued2009-05-16en
dc.identifier.issn01787675en
dc.identifier.doi10.1007/s00466-009-0392-5en
dc.identifier.urihttp://hdl.handle.net/10754/561421en
dc.description.abstractThe post-processing of experiments with nonuniform fields is still a challenge: the information is often much richer, but its interpretation for identification purposes is not straightforward. However, this is a very promising field of development because it would pave the way for the robust identification of multiple material parameters using only a small number of experiments. This paper presents a goal-oriented filtering technique in which data are combined into new output fields which are strongly correlated with specific quantities of interest (the material parameters to be identified). Thus, this combination, which is nonuniform in space, constitutes a filter of the experimental outputs, whose relevance is quantified by a quality function based on global variance analysis. Then, this filter is optimized using genetic algorithms. © 2009 Springer-Verlag.en
dc.publisherSpringer Verlagen
dc.subjectGlobal sensitivity analysisen
dc.subjectLocal field measurementsen
dc.subjectParameter identificationen
dc.titleA goal-oriented field measurement filtering technique for the identification of material model parametersen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentMechanical Engineering Programen
dc.contributor.departmentComposite and Heterogeneous Material Analysis and Simulation Laboratory (COHMAS)en
dc.identifier.journalComputational Mechanicsen
dc.contributor.institutionLMT-Cachan (ENS Cachan / CNRS / UPMC / PRES UniverSud Paris), 61, Avenue du Président Wilson, 94235 Cachan, Franceen
kaust.authorLubineau, Gillesen
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