Application of Continuum-Based Voronoi Tessellated Models for Simulating Brittle Damage and Failure in Hard Rocks
Bibliographic record
Abstract
Voronoi tessellations are commonly used in discontinuum numerical models to simulate the microstructure of brittle rocks.In this approach, the model domain is divided into several randomly generated polygonal blocks.Discontinuum-based Voronoi Tessellated Models (VTM) capture the brittle rock failure process more realistically than conventional continuum models.However, their higher computational costs often limit their practicality.This paper presents the applications of a continuum-based VTM for simulating brittle rock damage and failure at core and rock mass scales.The examples reviewed include: 1) laboratory behavior of a marble; 2) drilling-induced core damage; 3) failure mechanism of hard rock pillars; and 4) v-shaped notch formation around a circular tunnel.It is concluded that a properly calibrated continuum-based VTM can be used as a reliable tool for analyzing a wide range of geomechanical problems.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".