Field Monitoring of Ice Forces, Temperature Effects and Deformations on the Confederation Bridge
Bibliographic record
Abstract
The Confederation Bridge was built to provide a highway traffic link across the Northumberland Strait between Cape Tormentine, New Brunswick, and Borden, Prince Edward Island.It is currently the world's longest prestressed concrete box girder bridge built over salt water, consisting of 45 main spans of 250 meters each and a 100 year design life.Due to the design criteria of the bridge it is not currently covered by any engineering code or standard in the world.It is for this reason that a comprehensive monitoring program is necessary to study the behaviour of the bridge under initially assumed loadings.Several monitoring programs aim to determine the performance of the bridge under temperature effects, short and long term deformations, and ice forces as well as to gain information that engineers currently lack in these areas of design.This report will outline the necessary measurement equipment, and they're placement required to acquire this data.The monitored data received from the research results will also be very valuable to engineers with respect to the design and construction of other complex long-span bridges and structures in the future.The information provided from this research will be used in the improvement of computer modeling and simulation, as well as contributing to the development of new design standards and guidelines for long-span bridges.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".