Embedded polycrystal plasticity and adaptive sampling
By Nathan Barton, Jaroslaw Knap, Athanasios Arsenlis, R. Becker, R. Hornung, D. Jefferson. 2008
79 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/17b53bb1685687146fcd44b6a0b6329a1976aa9b
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In Computational Theory and Mathematics
- Franz Roters
- Philip Eisenlohr
- T. Bieler
- L. Hantcherli
- D. Tjahjanto
- Dierk Raabe
- Ricardo A. Lebensohn
- Javier Llorca
In Statistical and Nonlinear Physics
Citations in the corpus
- Overview of constitutive laws, kinematics, homogenization and multiscale methods in crystal plasticity finite-element modeling: Theory, experiments, applications (2010, background): “[188], Gerken and Dawson [52] Damage, fatigue, cyclic loading, void growth Bruzzi et al.”
- Multiscale modeling of plasticity based on embedding the viscoplastic self-consistent formulation in implicit finite elements (2012, methodology): “…et al., 2007), designed to capture the strongly anisotropic slip-twin interactions and the use of dislocation-density based hardening models (Beyerlein and Tomé, 2008), which includes grain-size and kinematic hardening effects, along with more accurate linearization assumptions, like the…”
- Defect evolution and pore collapse in crystalline energetic materials (2009, methodology): “where a = det(V)1/3 and a somewhat more involved form is retained for the kinematics pertaining to the evolution of R [19].”