Wind Engineering for the Confederation Bridge
Bibliographic record
Abstract
The Confederation Bridge was the subject of extensive wind tunnel studies to define the response characteristics and the wind loads for design. The wind climate at the site was studied to better define the wind speeds for design of the completed structure as well as loads during construction. Both section model and full aeroelastic model techniques were employed. In addition, the questions of snow accumulation on the deck and the overturning of vehicles were examined. The principal results of these studies are presented. Validation of wind tunnel model tests of long span bridges is an important component of the wind engineering of these structures. Full-scale monitoring permits a corroboration of the predicted wind-induced responses and loads and also a confirmation of the dynamic properties of the structure. Few bridges have been monitored over an extended period of time, permitting the collection of significant wind "events" in comparison with design return periods; therefore extrapolation well beyond the annual extreme is necessary. The Confederation Bridge has an extensive array of instrumentation which has been in service since the construction of the bridge in 1997. The aims of the monitoring program at the outset were focused on the ice and traffic loads on the bridge as well as an assessment of the structural properties post-construction. However, an opportunity to assess the performance of the bridge under extreme winds and hence compare to the design loads was presented during several winter storms of exceptional severity. The paper focuses on the performance of this bridge to strong wind and compares the observed behaviour to the wind tunnel tests of a full aeroelastic model in addition to the development of wind loads used for the design.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".