Life-cycle design of concrete highway bridge decks under climate change
Bibliographic record
Abstract
Chloride-induced corrosion is the main deterioration mechanism that governs the service life design of many concrete structures such as concrete bridge decks in Canada. The annual average surface air temperature over Canada has warmed historically and is projected to rise approximately twice the global average due to climate change. The temperature increase will lead to an increase in the probability of corrosion initiation of reinforcing steel and a shortening of service life of concrete structures. Current approaches for life cycle design of concrete bridge decks do not consider the impact of climate change. A probabilistic and mechanistic approach is proposed and demonstrated through an illustrative test case to assess the impact of climate change on life cycle design of concrete bridge decks exposed to corrosive environments. The time-dependent probability of corrosion was found to increase with temperature. In corrosive environments, corrosion-resistant steel reinforcement and high performance concrete can be used to reduce the corrosion probability significantly in the changing climate.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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; both teacher heads agree on what is shown here.
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".