Combined Impact of Replacing Dune Sand with Glass Sand and Metal Fibers on Mortar Properties
Bibliographic record
Abstract
This paper presents an experimental study on the influence of metal fibers on the mechanical behaviour of mortar with glass sand. Four mortar mixtures with glass filler and metals fibers are manufactured. The specimens were prepared with three percentages of glass sand (0%, 5%, 10%) and 1%, 2% by vol of steel fibers. The Air-Entraining Agent (A-E-A) dosages at the ratios of 0.08% of cement weight were used. The mechanical tests were carried out on the specimens such as the compressive strength, the tensile strength and the porosity. The results showed that the tensile and bending properties of all different mixtures with fibers are significantly higher compared to the reference mortars. A remarkable decrease has been observed in water, density and compressive strength of mortar with chemical admixture. Moreover, the using 1% volume fraction of steel fibers and 10% glass sand, flexural strength of mortar was completely improved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".