MULTISCALE MODEL FOR DAMAGE-FLUID FLOW IN FRACTURED POROUS MEDIA
Bibliographic record
Abstract
The paper deals with a closed-form continuum description of coupled fluid flow-deformation behavior of porous media with distributed strong discontinuities. Based on the underlying physics of the solid and fluid phases at the microscale, the macroscopic hydro-mechanical (HM) behavior of a representative elementary volume is eventually retrieved in the fully saturated case using the mean-field theory and Mori-Tanaka Homogenization Scheme. The heterogeneity that governs the overall HM behavior is induced by evolving microcracks described by a crack density distribution tensor. Herein, only the shape and orientation of microcracks are accounted for in the upscaling process. Examples are presented to assess the robustness of the proposed mathematical formulation. Finally, the evolution of heterogeneity in poromechanical parameters as well as hydraulic properties of the system is investigated by coupling a microcrack growth formulation under general loading conditions with fluid flow. We will briefly discuss, through material point simulations, how the proposed model can capture localized deformations and corresponding fluid transmission behavior starting from an initially homogeneous state.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".