Floor Acceleration Demands for 11 Instrumented Buildings in Taiwan During the 1999 Chi Chi Earthquake
Bibliographic record
Abstract
Accurate prediction of peak floor absolute accelerations is a crucial step in defining simplified seismic design procedures for operational and functional components (OFCs) attached to common buildings. A particular characteristic of seismic accelerations is that they increase along the building elevation. The amount of this increase depends on many factors, such as the type of lateral load resisting system, the height of the structure and the input ground motion. The suggested linearly increasing height factor in current design codes is empirical and based on limited observation of recorded data. Some research and observations have suggested that this factor needs revision in order to include the characteristics of the building and input ground motion. This has motivated several countries concerned with high seismic hazards to embark in building monitoring programs. As a part of a project sponsored by the Taiwan Strong Motion Instrument Program (TSMIP), data from 11 extensively instrumented buildings in Taiwan during the 1999 Chi Chi earthquake were compared to modern code provisions. The studied buildings have different lateral load resisting systems and different heights, and they did not suffer any structural damage during the earthquake. Based on acceleration measurements, the article discusses the correlation in the elastic range between the height amplification factor and some of the building characteristics.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".