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Computational measurements of stress fields from digital images
Author(s) -
Réthoré Julien,
Leygue Adrien,
Coret Michel,
Stainier Laurent,
Verron Erwan
Publication year - 2017
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.5721
Subject(s) - digital image correlation , displacement field , displacement (psychology) , relation (database) , coupling (piping) , parametric statistics , constitutive equation , stress (linguistics) , field (mathematics) , computer science , algorithm , mathematics , structural engineering , engineering , finite element method , physics , data mining , mechanical engineering , optics , statistics , psychology , linguistics , philosophy , pure mathematics , psychotherapist
Summary Since the pioneering works on digital image correlation, a huge effort has been devoted to the elaboration of strategies coupling measurements with numerical simulations. The main issue achieved with such coupling is the identification of constitutive law parameters from experimental configurations yielding heterogeneous strain/stress fields. The main limitation of this framework is that a constitutive law is to be postulated, what sometimes reveals far from being straightforward. To circumvent this limitation, a methodology is proposed to build a parametric description not only of the displacement field for digital image correlation but also of the local stress. With no assumption on the constitutive relation, the method allows for estimating displacement, strain, and stress fields. The ability of the method is illustrated for different situations.