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

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    Type
    Article
    Authors
    Lubineau, Gilles cc
    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
    2009-05-16
    Online Publication Date
    2009-05-16
    Print Publication Date
    2009-10
    Permanent link to this record
    http://hdl.handle.net/10754/561421
    
    Metadata
    Show full item record
    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.
    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/s00466-009-0392-5
    Publisher
    Springer Nature
    Journal
    Computational Mechanics
    DOI
    10.1007/s00466-009-0392-5
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00466-009-0392-5
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Mechanical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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