Seismic Fragility Analysis for Semi-Actively Controlled Structures Using MR Dampers
Bibliographic record
Abstract
This paper focuses on seismic fragility analysis of a semi-actively controlled high-rise building with magnetorheological (MR) dampers. Many control devices and methodologies to reduce seismic damage of the building structures have been developed. However, little research has been carried out to evaluate seismic fragility of controlled buildings with a broad range of seismic hazard levels. In this study, a 9-story steel moment-resisting framed (MRF) building is selected as a case study structure, and an advanced decentralized output feedback polynomial control (DOFPC) algorithm is applied. Seismic fragility relationships are investigated using a system reliability approach and are compared those results based on 41 earthquake ground motions with two different hazard levels. The preliminary results of fragility estimate based on the system reliability approach show that the differences on seismic performance for multiple performance-based control designs against 41 earthquake motions match well with the initial objectives of performance-based design.
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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) | 0.001 | 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 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".