Digital image-based computational approaches for three-dimensional microstructure characterization
Why this work is in the frame
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Bibliographic record
Abstract
Employing multiscale approaches provides an innovative solution to advancing the understanding of macro-geomechanical phenomena by capturing quantitative structure information of geomaterials at the particle-pore scale. In the last two decades, microstructural properties of Ottawa sands subjected to laboratory biaxial and triaxial compression testing have been analyzed at Georgia Tech so that their correlation with the mechanisms of strain localization could be explored. Extensive 2-D and some preliminary 3-D knowledge and insights into the inherent variation and evolving behavior induced by shearing in unconsolidated sand microstructures were learned. Aimed at enhancing and complementing these preceding studies, this research focuses on developing appropriate computational methods for 3-D microstructure characterization, with a particular focus on examining the geometry and topology of the highly intricate continuum pore space. Under a proposed skeleton-based framework, the tortuous nature of pore structure is investigated through characterizing spatial variation of geometrical tortuosity using a novel, generic computational algorithm. Based on specifying and identifying pore throats from the pore skeleton, the physically representative network architecture of pore structure is established. A local sphericity algorithm and a planar surface construction algorithm are introduced to construct pore throats and extract network statistics. The effectiveness of these pore structure analysis tools is evaluated and demonstrated on two simulated idealized packing structures. For the particle phase, image-based separation and size measurements are conducted via morphological watershed processing. The topology of the particle network is represented by the distribution of force-chain tortuosity. Design-based stereological techniques for unbiased sampling and estimation are adopted to guarantee the quantitative analyses can be performed in a scientific manner, independent of the operator. All the developed methods and tools are applied to characterize three pairs of reconstructed 3-D digital Ottawa sand microstructures, including one pair for biaxial specimens and two for triaxial specimens. Shear-induced alternations in pore structure and particle network are examined from the comparative studies between the sheared microstructure and the unsheared counterpart of each pair, as well as inside and outside the shear zone for the sheared biaxial microstructure. Variations in the inherent structures are analyzed by comparing unsheared triaxial specimens prepared with air pluviation and moist tamping methods. In the characterization of true pore morphology, the encountered geometric complications and then high computational expense highlight the difficulty and challenge of creating a unique pore network for unconsolidated porous media systems.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it