An efficient spectral crystal plasticity solver for GPU architectures
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Publication:1628732
DOI10.1007/s00466-018-1565-xzbMath1462.74169OpenAlexW2789504295WikidataQ113327264 ScholiaQ113327264MaRDI QIDQ1628732
Publication date: 5 December 2018
Published in: Computational Mechanics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00466-018-1565-x
Crystalline structure (74E15) Large-strain, rate-dependent theories of plasticity (74C20) Spectral and related methods applied to problems in solid mechanics (74S25)
Uses Software
Cites Work
- Computer implementations of iterative and non-iterative crystal plasticity solvers on high performance graphics hardware
- Computationally efficient database and spectral interpolation for fully plastic Taylor-type crystal plasticity calculations of face-centered cubic polycrystals
- Application of plastic potentials to strain rate sensitive and insensitive anisotropic materials
- GPU accelerated computational homogenization based on a variational approach in a reduced basis framework
- Spectral database constitutive representation within a spectral micromechanical solver for computationally efficient polycrystal plasticity modelling
- Inelastic constitutive relations for solids: An internal-variable theory and its application to metal plasticity
- Three orders of magnitude improved efficiency with high-performance spectral crystal plasticity on GPU platforms
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