Aging Concrete Slab on Steel Girder Bridges in Changing Climate
Bibliographic record
Abstract
Concrete Slab on Steel Girder (CSSG) bridges are a common type of bridge in Canada, constituting 25% of the inventory of certain bridge owners.These bridges have typically exceeded half of their design life.However, bridge owners currently lack practical tools for predicting the residual capacity of their aging assets.In light of the changing climate, it is imperative to have the ability to estimate the residual capacity of these bridges for various loading conditions and failure modes.This paper provides a brief overview of the future research that the National Research Council Canada's Construction Research Centre plans to undertake over the coming years on the prediction of residual capacity and structural behaviour of aging CSSG bridges.The research will focus on the residual shear and bearing capacity of deteriorated steel girders, the impact of axial load on moment resistance, and the effects of deterioration on dynamic behaviour.The outcomes of this research are expected to provide Canadian bridge owners with practical tools for evaluating the residual capacity of their aging CSSG bridges, facilitating informed, data-driven decision-making.
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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 | 0.001 |
| 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".