CONTROLLING PLASTIC AND AUTOGENOUS SHRINKAGE IN HIGH-PERFORMANCE CONCRETE STRUCTURES BY AN EARLY WATER CURING. IN: AUTOGENOUS DEFORMATION OF CONCRETE
Bibliographic record
Abstract
This paper discusses the technique and benefits of early water curing to control plastic and autogenous shrinkage in high performance concrete. High-performance concrete is very vulnerable to early cracking because it does not bleed, is subject to autogenous shrinkage, has low water/binder ratio, and is subject to thermal shrinkage. Fog spraying is most appropriate for controlling plastic shrinkage. Among the different means already available to fight early autogenous shrinkage, external water curing is a very efficient one. Water curing must be extended for 7 days. At the present state of the technology, concretes having a water/cement ratio of 0.36 are more robust against early cracking when an external water curing is used. Early water curing is easy to implement and control. The City of Montreal has specified the use of early water curing procedure for the last three years and has noticed an improvement in the quality of high performance concrete structures. The cost of early water curing has been estimated at 0.1 to 1.5% of the total construction cost of concrete structures, which represents a profitable investment over the long-term.
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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".