Impact of Heating on Structural Performance of Voided Two-Way Reinforced Concrete Slabs
Bibliographic record
Abstract
Voided concrete slabs have emerged as a good alternative to solid slabs in many applications due to their excellent advantages.Although these slabs have a good thermal insulation ability, they have a disadvantage represented by their low fire resistance, this defect may affect the structural performance of bubbled slabs subjected to elevated temperatures more than that of the solid slabs.Since there is a considerable lack of knowledge about this effect, this paper presents an empirical exploration on the impact of exposure to elevated temperature on the structural performance of voided reinforced concrete two-way slabs.The empirical plan includes construing and testing eight voided reinforced SCC slabs subdivided into two groups to study the effect of the exposure to different elevated temperature degrees and the exposure period to the elevated temperature.The outcomes reveal that increasing the temperature from 100 to 400℃ makes the first crack of the voided slabs decreases from 9.4% to 35.2%, the ultimate load decreases by 10.7% to 38.2%, and the ductility ratio decreases from 7.1% to 28.6% respectively, while increasing the exposure period from 1hr to 4hrs.leads to decreasing the cracking load from 35.2% to 62.8%, the ultimate load from 38.2% to 63.2%, and the ductility ratio decreases from 28.6% to 38.1% respectively.Also, the results show that it is necessary to avoid using this type of slab in buildings exposed to high temperatures exceeding 100℃, significantly when the exposure period exceeds one hour.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".