A 3D Grain Based Model for Characterizing the Geometric Heterogeneity of Brittle Rock
Bibliographic record
Abstract
In analyzing intact rock strength, an important factor is heterogeneity. At the grain-scale, intact crystalline rock consists of a variety of mineral grains of different sizes and shapes. These features give rise to the micro-scale heterogeneity. A three dimensional Grain Based universal distinct element Model (3D-GBM) was developed to generate a deformable polyhedral grain-like structure to simulate the microstructure of brittle intact rock. The geometric heterogeneity is introduced into 3D-GBM by capturing the mineral grain size distribution. A geometric sorting coefficient is used to account for the degree of geometric heterogeneity. A number of rock-like samples are generated using a 3D-GBM realization methodology with different sorting coefficients. The effect of micro-scale geometric heterogeneity on the rock strength is explored by investigating the relationship between micro-scale behaviors and macro-scale responses. The observed characteristics of stress distribution and cracking behaviors are discussed. Copyright 2013 ARMA, American Rock Mechanics Association.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".