Curling Control in Concrete Slabs Using Fiber Reinforcement
Bibliographic record
Abstract
Abstract Curling of concrete remains a major concern in flatwork and its mitigation is critical for crack control, durability, and mechanical performance, not to mention the aesthetics. This report describes a study on concrete slabs that were subjected to a controlled environment of sustained heat and humidity. The resultant curling was evaluated by means of strain gauges placed along the length and breadth of the slab. In addition to the reference plain concrete mix, three fiber reinforced mixes were cast with cellulose microfibers incorporated at a volume fraction up to 0.3 %. The results show that plain concrete will crack and thereby ease the amount of curl whereas the addition of fibers at low dosage rates (<=0.2 %) leads to crack control and consequently, a visible increase in curling. However, at 0.3 % volume fraction, cellulose fibers were able to arrest cracking and also reduce the curl with respect to the reference plain mix.
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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 | 0.000 | 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) | 0.001 | 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".