Effect of activators in different ratios on compressive strength of geopolymer concrete
Bibliographic record
Abstract
Geopolymer concrete's workability and compressive strength were investigated by changing the ratio of alkali activators to each other (Na 2 SiO 3 /NaOH), the ratio of total solutions to fly ash, and the water content of aggregate. According to the findings, the saturated surface dry condition of the aggregate, in terms of water content in general, increases the workability and compressive strength. In addition, because of the reduction in the Na 2 SiO 3 /NaOH ratio, the concrete sets and solidifies faster, and the compressive strength and modulus of elasticity increase. Increasing the ratio of total solutions to fly ash prolongs the setting time but decreases the strength and elasticity modulus and increases the strain corresponding to the maximum stress. As a result, the strain corresponding to the maximum compressive strength of geopolymer concrete is higher, and the modulus of elasticity is lower than that of ordinary Portland cement concrete.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 teacher head, 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".