Digital rock physics benchmarks - part II: Computing effective properties
By Heiko Andrä, Nicolas Combaret, J. Dvorkin, E. Glatt, Junehee Han, Matthias Kabel, Y. Keehm, F. Krzikalla, Minhui Lee, Claudio Madonna and 8 more. Computational Geosciences, 2013
545 citations recorded by the source corpus.
Subfields: Computational Mechanics, Environmental Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/dff3acdffaeb8c5826f433a1bf2cf5f851ddd58c
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In Computational Mechanics
In Ocean Engineering
Citations in the corpus
- Computational homogenization of elasticity on a staggered grid (2016, background): “for instance Andrä et al. (2013a). This method, however, does not exhaust the full information contained in the original specimen, as the capturing of heterogeneities on a meso-scale remains questionable. Another possible remedy is to work on a coarser grid, but to take into account information of t”
- A Comparison of Various Methods for the Numerical Evaluation of Porous Media Permeability Tensors from Pore-Scale Geometry (2016, background): “Following the recent progress and increased availability of X-ray computed tomography, together with the development of high performance computing, the recent literature provides a variety of studies concerning the determination of rock properties from micro-scale imaging [25, 26, 18, 2, 3, 9, 24].”
- Convergence of FFT‐based homogenization for strongly heterogeneous media (2015, methodology): “Furthermore, FFT-based homogenization was used to compute the second moment of the strain fields [53] and to determine the elastic behavior of rocks [54], boolean random sets of inhomogeneities [55], and random elastic media [56, 57].”