Numerical investigation of the structural performance of aged RC bridge columns subjected to corrosion and service loads
Bibliographic record
Abstract
Deterioration of reinforced concrete (RC) bridge columns due to reinforcement corrosion is a significant problem for aging infrastructure exposed to cold weather conditions, such as those found in Canadian winters. Corrosion-induced damage in aging bridge columns subjected to service loads can lead to significant reduction in their structural capacity and premature failure. This research presents a 3D numerical model using ABAQUS software to evaluate the structural response of large-scale RC columns subjected to eccentric load and reinforcement corrosion. The 3D numerical model evaluates and predicts RC structural behaviour for two different patterns of corrosion exposure: (i) corrosion of two ties at the mid-section of the column with cover stiffness reduction, (ii) corrosion in the compression rebar and cover stiffness reduction. The numerical model is validated with experimental work conducted on smallscale RC columns at the University of China. Results of the models are analyzed in terms of concrete and reinforcement response in addition to the lateral displacement at the mid-section of the column.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".