Excavation-induced fracturing mechanisms in deep hard rock: A hierarchical block model
Bibliographic record
Abstract
The fracture characteristics of the excavation damage zones (EDZs) of deeply buried tunnels are closely related to energy evolution, and they are highly valuable for support design. Advanced numerical simulation techniques have shown the potential for evaluating the EDZ properties. On the basis of the finite-discrete element method (FDEM) and Poisson’s random block generation technique, the virtual block model (VBM) is proposed to characterize the intact rock masses surrounding tunnels. Moreover, a virtual block upscale principle (VB-UP) is proposed to determine the geometric and meso-mechanical parameters. The Canadian Underground Research Laboratory (URL) and China Jinping Underground Laboratory Phase II (CJPL-II) project excavations are simulated, and the excavation-induced fracture characteristics of the surrounding rock masses are analyzed in detail. The VBM captures the tensile, shear, and mixed fracture properties under excavation-induced confining pressure evolution. Then, the thicknesses of the spalling rock slabs in Lab #7 of the CJPL-II project are evaluated via the Otsu method. Combined with onsite monitoring data, the validity and advancement of the VBM are verified. This study expands the applicability of the FDEM and provides a new method for assessing the EDZs of surrounding rocks.
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".