Study on the flow field characteristics and pressure rise of mobile fans in longitudinally ventilated tunnels
Bibliographic record
Abstract
The mobile fan (matrix) is a device used for smoke control in the event of ventilation system failure. To reveal the flow field and pressure rise characteristics induced by mobile fans, this article conducts experiments using a 1:10 scaled tunnel model. The experiments vary the fan power, inclination angle and lifting height, as well as the spacing and number of fans in the matrix, to investigate the general patterns of jet flow development and flow field characteristics. The results show that increasing fan power enhances ventilation flow speed but does not improve the pressure rise coefficient, while an appropriate inclination angle and lifting height can significantly improve it. A more uniform arrangement of fan matrix enhances the pressure rise coefficient and thus increases wind speed in the pressure ventilation section. However, the overall pressure rise coefficient of mobile fans is still lower than that of conventional jet fans, indicating that even if the mobile fans reach comparable power levels, they may still fail to provide sufficient ventilation speed for effective smoke control. This study provides an in-depth understanding of jet flow development induced by mobile fans and offers references for their practical application in tunnel fire ventilation scenarios.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".