Restrained Shrinkage Cracking of Self-Consolidating Concrete
Bibliographic record
Abstract
In this paper the properties of self-consolidating concrete (SCC) used for repair applications and prepared with two commercially available ternary blended cements and chemical admixtures such as a high-range water reducer (HRWR) and a viscosity modifying admixture (VMA) were investigated under restrained shrinkage. The examined properties include compressive strength, indirect tensile strength, static elastic modulus, free shrinkage, and restrained shrinkage. From the results, it became clear that the resistance of SCC to shrinkage crack was quite different depending on the nature of HRWR and the binder type in use. The cracking age increases in mixtures proportioned with polycarboxylate (PC)-based HRWR compared with polynaphthalene (PNS)-based HRWR. The SCC mixtures based on blended ternary cement containing Class F fly ash show shorter cracking age than the corresponding SCCs proportioned with ternary blended cement containing slag. Finally, it was found that the potential of shrinkage cracking of SCC is not influenced only by the amount of shrinkage but also by the shrinkage rate and tensile creep.
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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".