DYNAMIC MONITORING OF THE CONFEDERATION BRIDGE
Bibliographic record
Abstract
SUMMARY The Confederation Bridge is one of the world's longest continuous prestressed concrete box girder bridge built over sea water. Because of its location and long span length, the bridge is subjected to significant dynamic loads due to wind, sea current, ice floe impact, earthquakes and heavy vehicles. This paper describes a long-term monitoring program on the dynamic behaviour and performance of the Confederation Bridge. The objectives and scope of the monitoring program, and the design and layout of the instrumentation, are presented. The network of monitoring instruments includes over 100 channels of accelerometers, dynamic tiltmeters, displacement transducers, strain gauges and wind anemometers, to obtain information about the vibrational behaviour of the various components of the bridge. Some ambient vibration data collected as part of the calibration and testing of the monitoring instruments are presented. The field measured data agree well with the results computed using three-dimensional finite element models of the bridge, thus confirming the proper installation and operation of the monitoring equipment. In the study of the dynamic properties of the bridge, the effects of the non-structural components, such as the barrier walls and pavement materials, and the interaction effect of the surrounding water are considered. The monitoring project will not only establish a large comprehensive database on the dynamic behaviour and performance of such a unique concrete structure, but will also provide information for effective maintenance of the facility
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".