Influence of cement alkalis on mortar expansion of ASTM C 1260
Bibliographic record
Abstract
The main objective of this study was to evaluate the influence of three dosages of cement alkalis, such as 0·42, 0·84 and 1·26% Na2Oeq, on the alkali–silica reactivity-induced expansion of mortar bars prepared with 14 aggregate groups for 1·0, 0·5 and 0·25 N sodium hydroxide solutions at test durations of 14, 28, 56 and 98 d. For each alkali solution, the percentage contribution of cement alkali, test duration and their interaction to mortar expansion was also evaluated. The study revealed that, regardless of aggregate mineralogy, the influence of cement alkalis on mortar expansion depended mainly on the alkali solution concentration and test duration. The effect was more severe for the reduced concentration of alkali solution and early test duration, whereas the influence was minor for higher concentrations of alkali solution and extended test durations. Elevating cement alkalis resulted in a greater increase in the expansion of reactive aggregates for 0·25 N sodium hydroxide as compared to that of innocuous aggregates.
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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) | 0.000 | 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".