Repair of steel structures by bonded carbon fibre reinforced polymer patching: experimental and numerical study of carbon fibre reinforced polymer – steel double-lap joints under tensile loading
Bibliographic record
Abstract
The behavior of carbon fibre reinforced polymer (CFRP) composite bonded to a steel plate double-lap joint was investigated experimentally. A total of 19 specimens were tested with the major test parameters being the bonded lap length, LL, and the axial adherend stiffness ratio, ETR. Five of the 19 specimens were prepared using CFRP sheets, and the rest using CFRP plates. Two CFRP plate specimens were prepared with a tapered lap joint, and their results were compared with those of counterpart specimens prepared without tapered lap joints. In general, the behavior of specimens made from either CFRP sheets or CFRP plates were similar. The joint's axial load carrying capacity increased with increasing LLup to a certain limit, when the joint's load carrying capacity could no longer be increased by increasing LL. However, experimental results showed that a larger failure deformation could be achieved by increasing LLpast this limit. Specimens that had the same inner adherend thickness but higher axial adherend stiffness ratios showed higher axial load carrying capacities. Test results also showed that the strengths of tapered lap joints were almost the same as those of nontapered lap joints with the same LL. Nonlinear finite element analysis was carried out to study the stress–strain behavior of the adherend and the adhesive of the double-lap joint. Using finite element analysis results in an analytical solution obtained from the literature, predictions of the joint's maximum axial strength and minimum required LLwere made. This analytical solution provided good predictions when compared with test results, producing test to predicted ratios from 0.88 to 1.14.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".