Cement Mortar Properties Contain Crumb Rubber Treated with Alkaline Materials
Bibliographic record
Abstract
In the present work, the properties of rubberize cement mortar are treated with alkaline materials and tested and compared with normal rubberize and normal cement mortar. The rubber, which is treated with different alkaline materials such as: (NaOH, NaOCL, and Commercial detergent powder) of high pH (13-14), is used as partial replacement for sand in cement mortar. The percent of replacement ranged from 15 to 35%. Compressive strength, flexural strength, and modulus of elasticity are also tested for rubberize cement mortar, rubberize cement mortar treated with alkaline materials, and normal cement mortar. The results show that the treatment of rubber with alkaline materials significantly improves the properties of cement mortar. Moreover the results also show that NaOCL gives better improvement more than NaOH, while commercial detergent powder shows negative effects on all cement mortar properties.
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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 | 0.000 |
| 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".