Shear behaviour of the post-tensioned segmental precast concrete pontoon deck with the GFRP rods
Bibliographic record
Abstract
The present experimental and numerical study evaluated the structural performance of segmental concrete pontoon decks reinforced and post-tensioned with GFRP rods. Four large-scale decks were tested and the load-displacement response, strain behaviour of rods, concrete, and failure mechanism in four different prestressing levels were assessed. It was found that a small post-tensioning of 7.4 % of the rod's ultimate tensile strength reduced the self-weight deflection by 92 % and increased initial stiffness by 8.7 times compared to segmental decks without prestressing. Failure in prestressing decks typically began with concrete crushing at the joint with an increased compression depth due to increased initial post-tension; however, the ultimate failure mechanism of the hand-tight deck was governed by the interlaminar shear of the rod. A finite element model was developed and verified against test results A parametric study evaluating the influence of the post-tensioning at higher load, rod depth, concrete properties, rod number, and deck geometry was implemented. It was shown that increasing the post-tension load and depth of the rod improved the stiffness and reducing the spacing can result in a more uniform compression stress in the joint. This study provides design recommendations for ACI 440.4 R-04, by considering the concrete compression depth between joints rather than the depth of the FRP rod and contributes to a more accurate load estimation of the concrete crushing caused by joint openings. The results of this research could rectify the present problems with the construction design of maritime infrastructure and offer an innovative solution.
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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 | 0.001 |
| 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".