Investigation of airflow through porous zones: Integrating computational fluid dynamics modeling into mine ventilation network simulation
Why this work is in the frame
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Bibliographic record
Abstract
Using mine ventilation network (MVN) software to model airflow through porous zones in underground mining operations is arduous due to its complex and dynamic nature. However, accurately measuring airflow is essential to control underground mine air quantity and quality. This study integrated the computationally expensive conjugate porous media model into versatile MVN software to efficiently analyze airflow through the porous zone. In MVN software, a novel friction factor coefficient was compiled into the broken rock-filled drawpoint model, which was later verified against the three-dimensional (3D) computational fluid dynamics model. Several simulations were conducted to ensure model reliability by varying the porosity and broken rock diameter of the porous zone. Results demonstrate that the novel friction factor coefficient can accurately predict airflow through porous media using MVN software and reduce computation time by > 99% compared to the 3D solver. In addition, sensitivity analyses were conducted to assess the effects of various factors on the system. This method enables mine ventilation engineers to effectively plan the rapidly changing underground MVN.
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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 it