Modelling RC bridge columns under the combined effects of traffic and reinforcement corrosion
Bibliographic record
Abstract
This paper presents a numerical model of individual and compound effects of traffic and corrosion-induced damage in RC bridge columns on the dynamic performance of the bridge superstructure. The procedure includes two time-dependent cycles presenting each process: an external cycle, which represents the corrosion process, and an internal cycle, which performs time-history analysis of the bridge under traffic load. The slab-on-girder bridge is modelled as a beam-on-two-columns system (BOTC) using a two-dimensional finite element method, and the truck is modelled as a two-degree of freedom dynamic system integrated with the bridge model. Corrosion-induced damage is introduced through the reduction of the reinforcing steel area and spalling of the concrete cover. It is found that the model is efficient in simulating the static and dynamic behaviour of slab-on-girder bridges. From the case study, it is found that although reinforcement corrosion of the bridge columns significantly reduces their capacity, it only causes a marginal increase in the bridge superstructure dynamic deflection under the dynamic movement of the truck.
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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 | 0.000 |
| 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 | 0.001 | 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".