Discussion of “Pull-out test and discrete spring model of fibre-reinforced polymer perfobond rib shear connector”
Bibliographic record
Abstract
The discussed paper presented a series of pull-out tests for fibre-reinforced polymer (FRP) perfobond rib shear connector and proposed a discrete spring model to investigate the connector's shear behavior. The discussers appreciate the author's meaningful work. Some findings are interesting to the discussers and are worthy of further discussion. The statement that “the ultimate load caused by the failure of concrete dowel increases with larger areas of the rib hole and a larger number of the rib holes” and the conclusions that “the resistance produced by concrete dowel action was practically linearly proportional to the area of the rib hole” and “the resistance of concrete dowel action was not directly proportional to the number of the rib holes and experienced slight loss for a larger number of rib holes” are useful and can be introduced to near surface mounted (NSM) FRP strips for the strengthening of reinforced concrete (RC) beams (Bianco et al. 2009). According to this thought, if we make some holes on the FRP strips, the resistance may be improved greatly. It is worthy of further study. The predicted ultimate load by FRP failure is calculated by the following equation in the discussed paper.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".