2015
DOI: 10.1016/j.actamat.2014.11.052
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On the identifiability of Anand visco-plastic model parameters using the Virtual Fields Method

Abstract: In this paper, the issue of the identification of constitutive parameters of the Anand visco-plastic model is addressed using the Virtual Fields Method (VFM) in an infinitesimal deformation framework. By using VFM, one can take advantage of heterogeneous strain fields obtained by full-field experimental techniques, such as Digital Image Correlation (DIC). Since a wide range of strains and strain rates are sampled in a typical heterogeneous strain field, the number of experiments required to reliably estimate c… Show more

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Cited by 22 publications
(12 citation statements)
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“…The Virtual Fields Method (VFM) is a powerful inverse technique for calibrating material models, based on the principle of virtual work. [1] First developed for homogeneous, isotropic, and linearly elastic materials, VFM has matured and been applied to anisotropic materials, [2][3][4][5][6][7][8] heterogeneous materials, [9][10][11][12] elasto-plastic materials, [13][14][15][16][17][18][19][20] and viscoplastic materials, [21][22][23][24] among other applications.…”
Section: Introductionmentioning
confidence: 99%
“…The Virtual Fields Method (VFM) is a powerful inverse technique for calibrating material models, based on the principle of virtual work. [1] First developed for homogeneous, isotropic, and linearly elastic materials, VFM has matured and been applied to anisotropic materials, [2][3][4][5][6][7][8] heterogeneous materials, [9][10][11][12] elasto-plastic materials, [13][14][15][16][17][18][19][20] and viscoplastic materials, [21][22][23][24] among other applications.…”
Section: Introductionmentioning
confidence: 99%
“…As the experimental understanding of materials increases, so has the level of sophistication and complexity of elastoplastic models, leading to increased parameter calculation requirements, as recognised by Grama et al (2015). In order to improve the calculation process of elastoplastic constitutive model parameters, various optimisation techniques have been investigated, with two main optimisation strategies identified, the gradient-based (Mahnken and Stein, 1996, Saleeb et al, 2002, Desai and Chen, 2006 and the genetic algorithm (GA) methodologies (Rahman et al, 2005, Krishna et al, 2009, Badnava et al, 2012, Agius et al, 2017a, Mahmoudi et al, 2011, Farrahi et al, 2014, Rokonuzzaman and Sakai, 2010, Khademi et al, 2015, Cermak et al, 2015, Zhao and Lee, 2002, Khutia and Dey, 2014, Franulović et al, 2009.…”
Section: Introductionmentioning
confidence: 99%
“…The modified model and its parameters are widely adopted to predict the SAC305 solder. [15][16][17] Although the Anand model is suitable for predicting the stress-strain relationship of solders under uniaxial monotonic loading at different temperatures and strain rates, the model is not feasible for predicting the response of solders subjected to complex loading conditions, such as multiaxial loading or cyclic loading. 18 This is because, in the Anand model, only one single scalar is employed as an internal variable to express the averaged isotropic deformation resistance to macroscopic plastic flow.…”
Section: Models Without the Definition Of Yield Surfacementioning
confidence: 99%