On using Monte Carlo simulations for sampling crystallite orientations from given texture data
DOI10.1134/S1995080222100328zbMath1502.74024OpenAlexW4312850948MaRDI QIDQ2095893
P. V. Trusov, K. V. Ostapovich
Publication date: 15 November 2022
Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s1995080222100328
orientation distribution functionRadon transformrandomized algorithmmultilevel polycrystal modelsparse quadratic programming problem
Crystalline structure (74E15) Texture in solid mechanics (74E25) Statistical mechanics of crystals (82D25) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)
Cites Work
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- The Bingham distribution of quaternions and its spherical Radon transform in texture analysis
- Modeling crystallographic texture evolution with finite elements over neo-Eulerian orientation spaces
- Single-crystal elasto-viscoplasticity: application to texture evolution in polycrystalline metals at large strains
- Handbook of Monte Carlo Methods
- Representation of orientation and disorientation data for cubic, hexagonal, tetragonal and orthorhombic crystals
- The modified component method for calculation of orientation distribution function from pole figures
- Determination and interpretation of preferred orientation with texture goniometry: An application of indicators to maximum entropy pole- to orientation-density inversion
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