Linear and nonlinear seismic response of a 52-storey steel frame building
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents the results of a study on the seismic behaviour of a well-instrumented 52-storey steel frame building in Los Angeles, California. This building has been subjected to ground motions from several earthquakes among which the records obtained during the 1991 Sierra Madre earthquake and the 1994 Northridge earthquake were selected for this study. Detailed time and frequency domain analyses of the recorded motions from these two earthquakes were conducted to determine the dynamic characteristics of the structure. This information was used to calibrate a three dimensional dynamic computer model of the building. Nonlinear dynamic computer analyses were then employed to investigate the response of the structure during severe ground shaking. The results of this study showed that by performing a linear three-dimensional analysis, the response of the building during past earthquakes can be reproduced with confidence. The results also show that because of the torsional response of this high-rise building is not negligible, two-dimensional analysis is not feasible for reliably predicting its nonlinear response during earthquakes. By further performing a nonlinear three-dimensional analysis, the state and sequence of damage could also be predicted. The study also included an investigation of the effectiveness of pushover analysis for predicting the nonlinear behaviour of the building. This type of analysis has the deficiency of excluding the participation of higher modes, which is obvious for high-rise buildings, especially for shaking from near-field type ground motions. Improvements to the pushover analysis for such a type of shaking were explored. Copyright © 2000 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