Combination of a Failure Index and a Dilatancy-Dependent Permeability Model in Hydro-Mechanically-Coupled Numerical Simulations of Argillaceous Rock Formations of the Callovo-Oxfordian (COx)
Bibliographic record
Abstract
Abstract Hydraulic-mechanical coupling in claystone is of great importance for repository research, as claystone is considered a possible host rock and hydraulic-mechanical coupled processes can affect the integrity of the barrier. Of particular importance in this context are excavation damage zones and hydraulically-induced microcracks and fractures. In this work, two constitutive equations developed for these hydraulic-mechanical coupled processes are combined in a novel way. The approach exploits the different dominant stress states that prevail in the respective processes. This approach is applied in several numerical simulations for validation and compared with experimental data. The measured data were obtained during gas-injection tests in the scope of the PGZ experiment in the underground laboratory of Bure, France, where the hydraulic-mechanical coupling of the is the Nabla operator claystone was investigated. Five numerical models were calculated, each with a different model configuration, to simulate the excavation damage zone and dilatancy-controlled flow during gas-injection tests. The numerical results show that the developed approach can first satisfactorily predict the extent and behaviour of the excavation damage zone under different stress conditions and the subsequent dilatancy-dependent permeability due to the increased gas pressure.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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 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".