Effect of Aggregate Particle Size on Determining Alkali-Silica Reactivity by Accelerated Tests
Bibliographic record
Abstract
Abstract For assessing the rock applicability of accelerated tests for alkali-aggregate reactivity and the effect of aggregate particle size on determining alkali reactivity of concrete aggregates in accelerated tests, experimental studies on microstructure and expansion behaviors of Potsdam sandstone and a Norwegian quartzite were conducted in Concrete Prism Test and in various accelerated tests, i.e., Accelerated Mortar Bar Test, Chinese Autoclave Method, and Chinese Accelerated Mortar Bar Test. Results indicate that, in comparison with Concrete Prism Test results, the alkali expansivity of both rocks are generally underestimated in these accelerated tests. It is mainly attributed to the use of a large proportion of very fine aggregate particles in which the original microtexture characteristic of rocks was lost during sample preparation. The effects of microtexture and the particle size of aggregate on reasonable prediction of alkali expansivity of aggregates in concrete by accelerated tests were 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 | 0.002 | 0.004 |
| 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".