A Comparative Study of Al2O3, ZnO and Bentonite Effect on Structural Grade Mortar
Bibliographic record
Abstract
In recent years, nanoparticles have gained much attention in producing cementitious materials to modify both fresh and hardened properties, including their long-term durability characteristics. Due to its higher fineness and surface area, superior pozzolanic properties, nanoparticles have shown more significant improvement in cementitious materials' microstructure. Additionally, some micro filler materials also can improve the properties of hardened cementitious materials by filling up the micropores. Within this context, the focus of this paper is to investigate the optimum dosages of nano-Al2O3, nano-ZnO and bentonite in the production of medium strength (about 25-35 MPa) structural grade mortar. For the characterisation of materials properties, a compressive strength test is performed. The experimental results showed that up to a certain dosage of both nano-Al2O3 and bentonite, compressive strength is increased. After that, increasing dosages lead to a decrease in strength. However, strength can be significantly reduced when nano-ZnO is used in the mix.
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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 | 0.000 | 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) | 0.000 | 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".