Impact of Mixing and Curing Temperatures on UHPFRC Properties
Bibliographic record
Abstract
First structural applications in ultra-high performances fiber reinforced concretes (UHPFRC) were mainly precast solutions, such as bridge components and architectural panels. In that context, most studies concerning the impact of temperature on UHPFRC properties concerned high curing temperatures feasible in precast industry where a high control of the production process can be obtained. More recent applications of UHPFRC concerned also cast-in-place solutions involving field-cast joints and thin repairs. Limited data is available on the impact of low to moderate mixing and curing temperatures found on construction sites. This paper describes a research project focused on the evaluation of fresh state and hardened properties of UHPFRC in realistic cast-in-place conditions. UHPFRC were produced between 10 to 30 °C and cured between 10 to 35 °C, measurements of slump flow, air content, density, compressive and bending strengths are presented and discussed.
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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) | 0.001 | 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 | 0.001 |
| 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".