A goal-oriented field measurement filtering technique for the identification of material model parameters
Type
ArticleAuthors
Lubineau, Gilles
KAUST Department
Composite and Heterogeneous Material Analysis and Simulation Laboratory (COHMAS)Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Mechanical Engineering Program
Office of the VP
Physical Science and Engineering (PSE) Division
Date
2009-05-16Online Publication Date
2009-05-16Print Publication Date
2009-10Permanent link to this record
http://hdl.handle.net/10754/561421
Metadata
Show full item recordAbstract
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.Citation
Lubineau, G. (2009). A goal-oriented field measurement filtering technique for the identification of material model parameters. Computational Mechanics, 44(5), 591–603. doi:10.1007/s00466-009-0392-5Publisher
Springer NatureJournal
Computational Mechanicsae974a485f413a2113503eed53cd6c53
10.1007/s00466-009-0392-5