Loadbearing capacity of cold formed steel joists subjected to severe heating
Bibliographic record
Abstract
This paper discusses the behaviour of lightweight steel framed (LSF) unrestrained floors, protected with gypsum board ceilings, in five standard fire resistance tests. Parameters investigated in this test series were joist spacing, number of gypsum board layers in the ceiling membrane, floor cavity insulation and presence of concrete topping in the sub-floor. The fire resistance of LSF floors appears to be essentially governed by the ability of gypsum board to remain in place under fire exposure; other factors are of secondary importance.Retrospective numerical thermal-structural simulations of these tests show good agreement with measured temperature and deformation histories. The development of floor deflections is governed by the thermal bowing of steel joists except for the last one or two minutes in the tests, when 'run-away' deformations develop due to the formation of inelastic hinges near mid-span. Evaluation of bending moment resistance of heated joists using current design provisions for cold formed steel structures, adjusted to account for the deterioration of strength and stiffness of steel at elevated temperatures, leads to conservative and fairlyaccurate predictions of fire resistance.
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".