Shear Response of SFRC Beams Constructed with SCC and Steel Fibers
Bibliographic record
Abstract
This paper presents the experimental results from eleven slender beams constructed with highly workable SFRC tested under four-point loading. In the study self-consolidating concrete (SCC) was combined with steel fibers to improve workability and concrete placement. The response of the beams in terms of shear versus deflection response, crack control and damage tolerance is reported. The results demonstrate that the combined use of SCC and steel fibers in shear-deficient beams results in significant improvements in shear resistance and enhancements in flexural ductility. In the second part of the paper a model is proposed for predicting the shear capacity of SFRC beams. The proposed model and various equations proposed in the literature are used to predict the shear capacity of the beams tested in the experimental program. The results demonstrate the need for developing accurate and reliable equations for predicting the shear capacity of SFRC beams constructed with SCC and steel fibers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".