Study on one-dimensional earthquake intensities for Kiewitt-8 single-layer reticulated domes
Bibliographic record
Abstract
Selection of an appropriate ground motion intensity measure to be used in scaling or standardizing the ground motion records is of importance as it can be used to reduce the scatter of the obtained peak responses for different ground motion records.To identify such an adequate ground motion intensity measure for Kiewitt-8 single-layer reticulated domes,it was noted that the ground motion intensity measure could be grouped as absolute intensity and relative intensity,by considering whether the dynamic characteristics of structures were taken into account.Based on the statistics of peak displacements obtained from the time history analyses that were carried out for Kiewitt-8 single-layer reticulated dome under horizontal or vertical ground motion components of selected records,the correlation coefficients between the peak displacements of the structure and a group of selected ground motion intensity measures,including the spectral acceleration response at the fundamental vibration period,Sa(T1),were evaluated.The results show that Sa(T1) is an adequate ground motion intensity measure for the horizontal excitations for the considered dome.However,its use for vertical response is questionable as expected.Furthermore,the vibration period mode that controls the peak vertical displacements is usually unknown.A simple practical approach to remediate this drawback is suggested.It requires the use of harmonic analysis for horizontal and vertical excitations to identify the vibration periods at which the structure reaches its peak responses.The spectral acceleration values at the identified periods can then be used as ground motion intensity measure.
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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 | 0.001 |
| 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".