Selection of spectrum-compatible accelerograms for seismic analysis of bridges
Why this work is in the frame
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Bibliographic record
Abstract
Non-linear time-history analysis is the most reliable method to evaluate the responses of bridges subjected to seismic loads. Canadian Highway Bridge Design Code, American Association State Highway and Transportation Officials require using spectrum-compatible accelerograms for time-history analysis. This paper presents four methods for obtaining spectrum-compatible accelerograms for time-history analysis of bridges in eastern Canada where real earthquake records are lacking. Based on the procedure given by these methods, four sets of accelerograms were selected for the study, namely; scaled real accelerograms, modified real accelerograms, simulated accelerograms and artificial accelerograms. In order to determine the suitable type of accelerograms for the seismic analysis, two reinforced concrete bridges located in Montreal, Canada were examined. Based on the results obtained simulated accelerograms are recommended to conduct time-history analysis of bridges in eastern Canada
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it