Investigation into the Bond of Glass Fiber–Reinforced Polymer Stay-in-Place Structural Forms to Concrete for Decking Applications
Bibliographic record
Abstract
Glass fiber–reinforced polymer (GFRP) pultruded sections have great potential as structural stay-in-place forms for bridge components, including deck slabs. The bond behavior between cast-in-place concrete and GFRP forms, a key consideration in this type of structure, was studied. Eight concrete slabs cast on GFRP plates were fabricated and tested in bending to investigate and compare various bond systems and GFRP reinforcement ratios. No steel reinforcement was used. Bond systems included adhesively bonded freshly cast concrete on the plate, coarse aggregates bonded to the plate before concrete casting, and GFRP and steel mechanical shear connectors. Adhesive bonding to fresh concrete was the most efficient method. Generally, this method resulted in higher flexural stiffness than mechanically connected systems because no slip occurred in the former, whereas progressive slip occurred in the latter from the onset of concrete cracking. Bond failure eventually occurred within a thin layer of cement mortar that remained adhered to the plate. The hybrid slabs were equivalent in strength and stiffness to conventional steel-reinforced slabs of high reinforcement ratios. In addition, the hybrids had the advantage of simple and quick constructability as well as not being hindered by the limitations of concrete cover or rebar spacing. A general analytical model was developed to predict the full behavior and strength of the slabs and was successfully validated. The model can detect various failure modes, including GFRP plate debonding.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".