Digital image correlation used to analyze the multiaxial behavior of rubber-like materials

By L. Chevalier, S. Calloch, François Hild, Y. Marco. 2001

212 citations recorded by the source corpus.

We present an experimental approach to discriminate models describing the mechanical behavior of polymeric materials. A biaxial loading condition is obtained in a multiaxial testing machine. An evaluation of the displacement field obtained by digital image correlation allows us to evaluate the heterogeneous strain field observed during these tests. We focus on the particular case of hyper-elastic models to simulate the behavior of a rubber-like material. Different expressions of hyper-elastic potential are used to model experiments under uniaxial and biaxial loading conditions.

Subfields: Biomedical Engineering, Civil and Structural Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/c7b7d30cc0f01584726e03347e4161f0599f20b7

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In Biomedical Engineering

In Civil and Structural Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

3-D computer vision in experimental mechanics (2007, background): “[24] Chevalier L, Calloch S, Hild F, Marco Y.”
Characterization of hyperelastic rubber-like materials by biaxial and uniaxial stretching tests based on optical methods (2008, methodology): “The most commonly used are: radial tension of a circular plate, biaxial tension of a square thin sheet, punching tests and bulge tests [3–10].”
Digital Image Correlation: from Displacement Measurement to Identification of Elastic Properties – a Review (2006, background): “polymers [17], wood and paper [18],mineral wool [19]); • to identify material properties or validate constitutive models [20–23].”
Analysis of a multiaxial test on a C/C composite by using digital image correlation and a damage model (2002, background): “Under these hypotheses, there is no real limitation, apart from the fact that the errors are now cumulated, and strains higher than 100% are routinely observed in a fullfield assessment.(8)”