PyroSim-Based Numerical Simulation of Fire Safety and Evacuation Behaviour of College Buildings
Bibliographic record
Abstract
In colleges, fire accident poses a severe threat to the lives and properties of teachers and students, because fire evacuation is difficult due to the dense population, numerous experimental instruments, and various flammables and explosives on campus. This paper explores deep into the fire safety of college buildings, and analyses the types and hazard sources of fire on campus. Then, a building information model (BIM) was established according to the location of fire source, the type of fire growth, and the maximum heat release rate, and applied to fire process simulation on PyroSim and Pathfinder. The simulation results show that the smoke at staircases 1 and 2 on the second floor reached the critical height at 63s and 76s, respectively; despite a relatively long distance from the fire classroom, the smoke at staircase 3 on the second floor reached the critical height at 123s, making the staircase impassable. Among the four evacuation exits, exit I suffered the greatest from the fire, and became impassable since 86s. The other exits and stairways on the first floor were affected but still passable. Except the fire classroom. The average temperature variation on the second floor was 5. After the fire broke out, the total evacuation time increased by 21s. Exit I is the only evacuation exit where the evacuation is faster under fire than under no fire. The research results provide a good reference for fire analysis and fire protection of other buildings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".