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Stéphane Roux

Researcher at Université Paris-Saclay

Publications -  648
Citations -  21061

Stéphane Roux is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Digital image correlation & Displacement field. The author has an hindex of 68, co-authored 627 publications receiving 19123 citations. Previous affiliations of Stéphane Roux include University of Franche-Comté & Federal University of Rio Grande do Norte.

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Book

Statistical Models for the Fracture of Disordered Media

TL;DR: In this article, the authors introduce basic notions and facts (H.J. Herrmann and S.M. de Gennes) for failure and deformation of various materials.
Posted Content

Digital Image Correlation: From Displacement Measurement to Identification of Elastic Properties - A Review

TL;DR: In this article, a general presentation of the extraction of displacement fields from the knowledge of pictures taken at different instants of an experiment is given, and different strategies can be followed to achieve a sub-pixel uncertainty.
Journal ArticleDOI

Digital Image Correlation: from Displacement Measurement to Identification of Elastic Properties – a Review

TL;DR: A general presentation of the extraction of displacement fields from the knowledge of pictures taken at different instants of an experiment is given, and different strategies can be followed to achieve a sub-pixel uncertainty.
Journal ArticleDOI

"Finite-Element" Displacement Fields Analysis from Digital Images: Application to Portevin-Le Châtelier Bands

TL;DR: In this article, a new methodology is proposed to estimate displacement fields from pairs of images (reference and strained) that evaluates continuous displacement fields, specialized to a finite-element decomposition.
Journal ArticleDOI

Force Distributions in Dense Two-Dimensional Granular Systems

TL;DR: The ratio of friction to normal force is uniformly distributed and is uncorrelated with normal force, and when normalized with respect to their mean values, these distributions are independent of sample size and particle size distribution.