Prediction of Atmospheric Corrosion of Carbon Steel Bridge Components in a Changing Climate
Bibliographic record
Abstract
Abstract This research presents Phase 1 of a study for climate change impacts on the atmospheric corrosion of structural steel components of infrastructure such as bridges. ISO standards that provide quantitative models to calculate corrosion rate as function of key exposure parameters, namely, temperature, relative humility, chlorides, and sulfur dioxides are used in the evaluation, where the first-year corrosion rate is used to quantify and classify the severity of a corrosive environment. The corrosivity environment of six Canadian cities/locations for carbon steel bridges was modelled for the 1954-2020 period and the next 80 years using projected climatic data up to year 2100. The model was calibrated by the 10-year corrosion field data for these six locations for the 1954-1964 period, where good agreement was observed especially for locations in low and medium environmental corrosivity categories per ISO classification. The results also demonstrated that the methodology can be adopted in Canadian infrastructure standards/codes such as the Canadian Highway Bridge Design Code to enhance the current descriptive environmental exposure with quantitative corrosion rates. This study represented an initial effort and in order to fully implement into a more reliable and quantitative corrosion protection design more research is required.
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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) | 0.000 | 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) | 0.000 | 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 teacher head, 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".