Behavior and design of GFRP bar adhesive anchors under direct tension for deteriorated concrete bridge barrier replacement
Bibliographic record
Abstract
The application of post-installed GFRP bars is notably illustrated in replacing deteriorated bridge barriers. Fourteen steel-reinforced concrete slabs were fabricated, into which 120 GFRP bars were anchored using epoxy adhesive. These anchored GFRP bars were exposed to outdoor conditions throughout one winter to assess the impact of freeze-thaw cycles before undergoing testing to evaluate their ultimate pullout load. The experimental program included two types of adhesives, various diameters of bars, two categories of GFRP bars (sand-coated and ribbed-surface), and three nominal embedment depths for each bar diameter. For each bar combination, five identical samples were constructed. The predominant observed failure modes were pullout failures, which contributed to the development of an analytical model. A regression analysis was conducted to investigate the influence of embedment depth and bar diameter on pullout capacity, resulting in a best-fit formula that may be used in design practices.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".