The Effect of Steel Fibers Type and Content on the Development of Fresh and Hardened Properties and Durability of Selfconsolidating Concrete
Bibliographic record
Abstract
Steel fiber reinforced self-consolidated concrete (SFRSCC) has the advantages of both selfconsolidated concrete and fiber reinforced concrete. Thirteen concrete mixtures (with short and long steel fiber) were prepared including control mix. The steel fiber volume fraction varied from 0 to 2.4% by the volume of concrete. The fresh properties of SCC were evaluated using slump flow test, J-ring test, V-funnel test and L-Box test. Bond strength, compressive strength and flexural tests were performed in order to investigate mechanical properties. Water sorptivity, water absorption and porosity, rapid chloride permeability test (RCPT), corrosion and freezethaw cycles tests were performed in order to investigate the durability properties. Bond strength gain of 244% with respect to control mix was observed. Moreover, the compressive strength and MOR gained 45% and 127%, respectively. There was no significant weight loss of the concrete specimen after freeze-thaw cycles for concrete mixture with steel fibers. However, flexural toughness was reduced after freeze-thaw cycles.
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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 | 0.001 | 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".