Effects of calcium aluminate cement on the acid resistance of metakaolin-based geopolymer
Bibliographic record
Abstract
The aim of this study was to improve the acid resistance of a metakaolin-based geopolymer (MKG) by substituting metakaolin with calcium aluminate cement (CAC). The CAC was added at weight ratios of 5% and 10%. The raw materials were activated with a mixture of sodium hydroxide solution and sodium silicate solution. The cured MKG mortars were immersed in a sulfuric acid solution with a pH of 2 for 75 days. Tests for the volume of permeable voids, unconfined compressive strength (UCS) tests, thermogravimetric analysis and Fourier transform infrared spectroscopy were conducted before sulfuric acid immersion. It was found that the addition of CAC facilitated geopolymerisation and reduced the volume of permeable voids of the MKGs. Changes in UCS, ultrasonic pulse velocity, mass and length were monitored to evaluate acid resistance. It was found that the addition of CAC dramatically improved the acid resistance of the MKG due to the reduced volume of permeable voids and enhanced neutralisation capacity. The mixture with 10% CAC showed the lowest deterioration.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".