Simultaneous effects of nanosilica and basalt fiber on mechanical properties and durability of cementitious mortar: an experimental study
Bibliographic record
Abstract
This study investigated the single and hybrid effects of nanosilica and basalt fiber on mechanical properties and durability of mortar. Results showed that basalt fiber could remarkably increase the indirect tensile strength, whereas the compressive strength and durability properties were not significantly improved by basalt fiber. However, incorporation of nanosilica in the mortar containing basalt fibers could acceptably compensate for this weakness of basalt fiber-reinforced mortar (BF) and remarkably improve not only the compressive strength and durability but also the indirect tensile strength compared to BF samples. According to the best results, samples containing 1% of nanosilica and 0.05% of basalt fiber improved the compressive strength, sorptivity, and water absorption by 37%, 48%, and 32%, respectively. Moreover, incorporation of 1% of nanosilica and 0.125% of basalt fiber increased the flexural strength, splitting tensile strength, and specific electrical resistivity by 29%, 27%, and 35%, respectively, compared to the control samples.
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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".