Role of fire resistance issues in the first ever collapse of a steel framed building - WTC7
Bibliographic record
Abstract
The September 11th terrorist incidents have caused colossal destruction and significant damage to a number of buildings in the World Trade Centre (WTC) vicinity in New York. The catastrophic collapse of the twin towers has shocked the whole world and was attributed to two extreme events - impact of the aircraft and the ensuing fires. However, the collapse of WTC 7, a 47-storey building, has shocked everyone much more since this collapse was entirely due to fire. Further, this was the first ever collapse of a steel-framed building under fire. Thus, fire resistance issues played a major role in the collapse of the WTC 7.The role of fire resistance issues in the collapse of the WTC 7 building is discussed in this paper. An overview of the structural system and fire protection design features is presented. The effect of fire growth and fire intensity on the performance of structural systems is discussed. A review of the performance of steel-framed tall buildings in earlier fire incidents is presented. The different "fire and structural" conditions that existed in WTC 7, prior to the collapse that were crucial to the collapse, are highlighted.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".