Elastic buckling strength for steel plates symmetrically strengthened with glass fiber reinforced polymer plates
Bibliographic record
Abstract
A plate finite element formulation is developed for the buckling analysis of steel plates symmetrically strengthened with glass fiber reinforced polymer (GFRP) plates. The solution idealizes the steel and GFRP as Kirchhoff plates while accounting for the shear-flexibility within the adhesive through a postulated zigzag displacement profile. The solution is then used to characterize the elastic buckling strength for steel plates strengthened with GFRP for corroded flanges subjected to compression, and for steel panels subjected to shear. The validity of the present model is assessed through comparisons with three-dimensional and shear deformable shell solutions. The capacity of the strengthened system is found sensitive to GFRP thickness but insensitive to the adhesive shear modulus. A design example is provided to illustrate how CAN-CSA S16-14 provisions for plate girder design can be integrated with the predictions of the present model to characterize the shear capacity of end panels strengthened with GFRP plates.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".