@article{56097,
  abstract     = {{We contrast different gradient-enhancements for plasticity-damage material models in the logarithmic strain space and compare them to reference models based on multiplicative plasticity. The models being compared include plasticity - gradient-damage, where the gradient-enhancement is applied on the local damage variable, and gradient-plasticity - damage with a gradient-enhanced plastic hardening variable. Thereby, gradient-plasticity proved to be able to simultaneously regularise plastic and ductile (plasticity-driven) damage localisation as confirmed by numerical localisation analyses. This appears to be especially advantageous for logarithmic strain space plasticity-damage, because of the observed plastic localisation even for the case of plasticity with hardening. Even though gradient-plasticity appears to be numerically more demanding, two numerical examples indicate a good robustness and mesh objectivity in the softening regime. Moreover, the internal length for plasticity is able to adjust the damage zone width, similarly to gradient-damage, however ensuring a priori that damage takes place exclusively inside the plastic zone.}},
  author       = {{Friedlein, Johannes and Mergheim, Julia and Steinmann, Paul}},
  issn         = {{0997-7538}},
  journal      = {{European Journal of Mechanics - A/Solids}},
  keywords     = {{Finite plasticity, Logarithmic strain space, Ductile damage, Gradient-enhancement, Gradient-plasticity, Gradient-damage, Loss of ellipticity}},
  publisher    = {{Elsevier BV}},
  title        = {{{Efficient gradient enhancements for plasticity with ductile damage in the logarithmic strain space}}},
  doi          = {{10.1016/j.euromechsol.2023.104946}},
  volume       = {{99}},
  year         = {{2023}},
}

@article{62771,
  author       = {{Schulte, Robin and Karca, Cavid and Ostwald, Richard and Menzel, Andreas}},
  issn         = {{0997-7538}},
  journal      = {{European Journal of Mechanics - A/Solids}},
  publisher    = {{Elsevier BV}},
  title        = {{{Machine learning-assisted parameter identification for constitutive models based on concatenated loading path sequences}}},
  doi          = {{10.1016/j.euromechsol.2022.104854}},
  volume       = {{98}},
  year         = {{2022}},
}

@article{45424,
  author       = {{Mahnken, Rolf and Kuhl, Ellen}},
  issn         = {{0997-7538}},
  journal      = {{European Journal of Mechanics - A/Solids}},
  keywords     = {{General Physics and Astronomy, Mechanical Engineering, Mechanics of Materials, General Materials Science}},
  number       = {{5}},
  pages        = {{819--835}},
  publisher    = {{Elsevier BV}},
  title        = {{{Parameter identification of gradient enhanced damage models with the finite element method}}},
  doi          = {{10.1016/s0997-7538(99)00127-8}},
  volume       = {{18}},
  year         = {{2002}},
}