Mechanical and Thermal Properties of Perlite and Rubber Insulation Cement Mortar
Bibliographic record
Abstract
The thermal analysis of the concrete walls showed that the connection mortar between the bricks works as thermal bridges, which transfer the heat to the interior wall surfaces. Therefore, insulation materials were used to produce insulation mortar in this research. Powder perlite and fine rubber were substituted with sand with three dosages 5%, 10%, and 15% by weight. The compressive strength, thermal conductivity, density, and absorption were measured experimentally in the lab. The results showed that the maximum reduction in compressive strength was 44% and 63% for 15% substitutions of perlite and rubber, respectively. On the other hand, the absorption of perlite was higher than rubber mortar by 59%, for the content of 10%. The thermal conductivity results proved the higher efficiency of perlite and rubber, which reached around 50% and 30%, respectively for the contents of 15%. According to ASTM C 270, the perlite and rubber mortars were satisfying the conditions.
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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".