Collapse Fragility Analysis of Non-Seismically Designed Bridge Columns Retrofitted with FRP Composites
Bibliographic record
Abstract
The seismic fragility assessment of the bridge can be analyzed using fragility curves which is a method to estimate the probability of damage of the structure at a specific level of ground motion or an intensity measure (IM). The columns are the most vulnerable structural element in the bridges which have a significant contribution to the failure probability of the bridge system. This research presents the collapse fragility curves of non-seismically designed circular reinforced concrete (RC) bridge columns using different combination of parameters located in Vancouver, British Columbia, Canada. Probabilistic seismic demand models are produced using the results obtained from the incremental dynamic analyses. Considering collapse drift as a demand parameter, fragility curves are generated with different parameters of non-seismically designed circular RC bridge columns. It is observed that amount of reinforcement, shear span-depth ratio, and axial load are significantly affect the collapse fragility curve of the retrofitted bridge columns.
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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 | 0.001 | 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) | 0.001 | 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".