Assessment of corrosion-damaged concrete bridge decks - a case study investigation
Bibliographic record
Abstract
The results of a comprehensive condition assessment of a decommissioned reinforced concrete bridge, which included both a field survey and laboratory tests are presented. The field survey included electro-chemical, chemical, physical and mechanical tests on the bridge deck, which was exposed to a corrosive environment for about 35 years. The experimental study focused on the investigation of the impact of concrete mix on corrosion and subsequently on the bond strength of concrete structures. The data collected from the field survey include measurements of concrete cover depth, chloride content, half-cell potential, electrical resistivity, and level of carbonation. These data shows a considerable level of variability in all parameters measured with coefficients of variation ranging from 34% for the concrete cover depth to 86% for the apparent chloride diffusion coefficient. A Monte Carlo simulation was undertaken to generate the distributions of the chloride content at the reinforcement level and corrosion initiation time for the deck. Thesimulations generated results that were very close to the field data. Partial results of the experimental study of the impact of corrosion on bond shows a quasi-linear decrease of the residual bond capacity with the mass loss of reinforcing steel.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".