Mechanical Properties of ASR-Affected Concrete Containing Fine or Coarse Reactive Aggregates
Bibliographic record
Abstract
Abstract This experimental study was conducted to investigate the effects of the alkali-silica reactivity (ASR) on the mechanical properties of concrete, and in particular the strength and the modulus of elasticity under direct tension. Two highly reactive aggregates, a coarse (Québec City limestone) and a fine (Texas sand) were used. The results suggest that the effects of ASR on the mechanical properties of concrete may vary with the reactive aggregate involved. At least, they depend on the particle size and/or the degree of reactivity of this aggregate. The direct tensile strength was the mechanical property of concrete, the most affected and the most-rapidly affected by ASR. At 0.1 % expansion, for instance, concrete cylinders cast with the Québec City limestone showed moderate losses of 16 % in compressive strength and in splitting strength (Brazilian test), but as high as 48 % in direct tensile strength. The modulus of elasticity presented similar values in compression and in direct tension, and its reduction also gives a very good idea of the progress of the damage due to ASR. At 0.1 % expansion, for instance, concrete cylinders containing the Québec City limestone showed a loss in modulus of 19 % in direct tension and 23 % in compression.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".