Characterisation of materials subjected to large strains by inverse modelling based on in-plane displacement fields
By J. Kajberg, G. Lindkvist. 2004
266 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/561376c7f8cee65f80ed13520ffc61a81dbb507a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Fabrice Pierron
- Michel Grédiac
- Junhui Yan
- Michael A. Sutton
- Stephane Avril
- Frederic Barlat
- Myoung-Gyu Lee
- Joris Degrieck
In Computer Vision and Pattern Recognition
- Fabrice Pierron
- Michel Grédiac
- Michael A. Sutton
- Junhui Yan
- Stephane Avril
- Joris Degrieck
- Jan Peirs
- W. Paepegem
In Mechanical Engineering
- Fabrice Pierron
- Michel Grédiac
- Myoung-Gyu Lee
- Stephane Avril
- Frederic Barlat
- Junhui Yan
- Michael A. Sutton
- A. Serpantié
Citations in the corpus
- Identification of plastic constitutive parameters at large deformations from three dimensional displacement fields (2011, unknown): “…used in the paper follows the indications given in Elasticity and Plasticity of Large Deformation (Bertram, 2008) [14]. is often adopted [22,23,24,25,26], i.e. a FE model of the test is built up and the constitutive parameters of the plasticity model are iteratively modified in order to…”
- Characterization of the post-necking strain hardening behavior using the virtual fields method (2013, background): “The measurements needed for comparison purposes could be the load-axial displacement curves (Zhano and Li, 1994; Koc and Štok, 2004; Joun et al., 2008) or sur- face displacement fields (Kajberg and Lindkvist, 2004).”
- Identification of elasto-visco-plastic parameters and characterization of Lüders behavior using digital image correlation and the virtual fields method (2008, background): “However, one of the main drawbacks is that FE computation is time consuming; estimating a few parameters from experimental data can easily take more than 20 hours in some cases [8].”
- Determining the stress-strain behaviour at large strains from high strain rate tensile and shear experiments (2011, methodology): “Des., 5, 1 (2009) 13-27 M AN US CR IP T AC CE PT ED ACCEPTED MANUSCRIPT 23 [16] Kajberg J, Lindkvist G, Characterisation of materials subjected to large strains by inverse modelling based on in-plane displacement fields, International Journal of Solids and Structures, 41, 13 (2004) 3439-59 [17] Kajb”
- Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements (2020, background): “Examples dealing with biological materials [18, 19], metals [20, 21, 22, 23, 24, 25], MEMS [26], composites [27, 28, 29, 30], heterogeneous [31] and homogeneous [32] hyperelastic materials, wood [33], and even crimped mineral wool [34], can be found in the literature.”
- Stress–strain curves of metallic materials and post‐necking strain hardening characterization: A review (2019, background): “60 With a single correction factor G, the average true stress from the notched specimen can be converted to the material's equivalent stress– strain curve; see Equation (55).”