Evaluation of Reinforcement Corrosion in Repaired Concrete Bridge Slabs—A Case Study
Bibliographic record
Abstract
Results of a study of reinforcement corrosion in four repaired concrete slab sections taken from an old bridge are presented, as well as results measured on electrochemical cells. Significant evidence is provided to help the inspection engineer to interpret the corrosion survey data taking into account the specifics of the environmental conditions that prevailed during the survey. The measurements comprised half-cell potential, linear polarization, and concrete resistivity, which are known to be sensitive to the ambient environment, especially to oxygen and water in concrete. Some semi-destructive tests, including chloride concentration, chloride permeability, and carbonation depth, were also carried out to assist the analysis and to support the results of the nondestructive corrosion testing techniques. The concrete cover of the slab samples was later removed to assess the actual state of corrosion of the reinforcement and to compare it to the corrosion predicted from the corrosion surveys. This study shows that each corrosion measurement technique has its specific advantages and limitations. Better prediction of corrosion can be obtained by analyzing the data collected from various evaluation methods with careful consideration for the effects of environmental conditions.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".