S
Stéphane Pagano
Researcher at University of Montpellier
Publications - 89
Citations - 1424
Stéphane Pagano is an academic researcher from University of Montpellier. The author has contributed to research in topics: Digital image correlation & Finite element method. The author has an hindex of 13, co-authored 89 publications receiving 1282 citations. Previous affiliations of Stéphane Pagano include Centre national de la recherche scientifique & EMLYON Business School.
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Journal ArticleDOI
Overview of Identification Methods of Mechanical Parameters Based on Full-field Measurements
Stéphane Avril,Marc Bonnet,Anne Sophie Bretelle,Michel Grédiac,François Hild,Patrick Ienny,Felix Latourte,Didier Lemosse,Stéphane Pagano,Emmanuel Pagnacco,Fabrice Pierron +10 more
TL;DR: In this article, the authors present several methods for constitutive parameter identification based on kinematic full-field measurements, namely the finite element model updating method (FEMU), the constitutive equation gap method (CEGM), the virtual fields method (VFM), the EGM, the equilibrium gap method, and the reciprocity gap method.
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Identification of elastic parameters by displacement field measurement
TL;DR: Geymonat et al. as discussed by the authors proposed a variational method based on the minimization of a separate convex functional which leads to the reconstruction of the elastic tensor and the stress field.
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Identification of mechanical properties by displacement field measurement: A variational approach
TL;DR: In this article, a variational method for parameter identification with a two-dimensional mechanical problem is proposed. But the method is based on the minimization of either a separately convex functional or a convex function that leads to the reconstruction of the elastic tensor and the stress field.
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Elastoplastic Behavior Identification for Heterogeneous Loadings and Materials
TL;DR: Grediac et al. as mentioned in this paper used the surface strain fields obtained by digital image correlation to identify the distribution of elastic parameters and stress fields by minimizing a given energy functional, and then extended to a wider class of elastoplastic materials.
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Local energy analysis of high-cycle fatigue using digital image correlation and infrared thermography
TL;DR: In this article, an experimental set-up was developed to estimate locally the terms of the energy balance associated with the high-cycle fatigue (HCF) of DP 600 steel.