Effect of matrix strength on pull-out behaviour of hooked steel fibre-reinforced cementitious composites
Bibliographic record
Abstract
This paper investigates the effect of matrix composition and its mechanical properties, mainly compressive strength, on the pull-out response of hooked steel fibres. A limited experimental study was also conducted on silica fume to cement and sand to cement ratios to gain further insight into the effect of matrix composition. The experimental program involved hooked steel fibres embedded in six different matrices. Test results have shown that pull-out behaviour of hooked steel fibre is influenced by the matrix composition and its compressive strength. All the fibres were pulled out from matrix without any fibre rupture. Hooked fibres produce a higher pull-out load with a higher compressive strength matrix and leads to significant enhancements in both pull-out load and pull-out energy in higher strength matrix than in lower strength matrix. Based on the result, all aspects of pull-out comprising pull-out load, pull-out energy, and equivalent bond strength were improved as the silica fume to cement ratio increased.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".