Spectral shape metrics and structural collapse potential
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Bibliographic record
Abstract
Summary This paper examines various parameters that provide a measure of spectral shape and studies how they relate to the potential of ground motion records to cause the collapse of a given structure. It is shown that when measuring the ground motion intensity by the spectral acceleration at the first‐mode period of the structure, Sa ( T 1 ), records causing collapse at low ground motion intensities typically have significantly different spectral shapes than those that do not cause collapse until much higher ground motion intensities. A spectral shape typical of damaging records is identified, and a metric for quantifying the spectral shape of a record called SaRatio is proposed and evaluated. SaRatio is defined as the ratio between Sa ( T 1 ) and the average spectral value over a period range. The ability of SaRatio to predict the collapse intensity, i.e. the minimum intensity at which a given ground motion causes the collapse of a given structure, is compared to other recently proposed spectral shape metrics including epsilon ( ε ), eta ( η ) and Np . The results demonstrate that SaRatio is typically a much better predictor of collapse intensity than other spectral shape metrics. Copyright © 2016 John Wiley & Sons, Ltd.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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