Seismic fragility curves for reinforced concrete frame buildings in Canada designed after 1985
Bibliographic record
Abstract
Performance of reinforced concrete frame buildings depends on seismic hazard of the region and vulnerability of the structure. Performance-based evaluation of buildings may be conducted through fragility curves developed for different levels of performance. Reinforced concrete frame buildings with 2, 5, and 10-stories, designed as moderately ductile buildings for Ottawa in Eastern Canada and fully ductile buildings for Vancouver in Western Canada were used to generate seismic fragility curves. The buildings were analyzed using PERFORM-3D software to assess seismic vulnerabilities. Incremental dynamic analysis was employed to generate fragility curves. Two sets of earthquake records compatible with uniform hazard spectra of 2010 NBCC were selected, where each set contained 20 records for each city. The fragility curves depict probabilities of exceedances for different damage states, and can be used for seismic vulnerability assessment of reinforced concrete frame buildings in Canada designed and built after 1985.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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".