Probabilistic performance evaluation of steel moment resisting frame with masonry infill walls
Bibliographic record
Abstract
This study presents a seismic fragility analysis of steel moment-resisting frames (SMRFs), with and without the inclusion of masonry infill walls (MIWs).Recognizing the often-overlooked structural contributions of MIWs, the analysis incorporates a detailed probabilistic seismic hazard analysis (PSHA) to generate tectonic-based ground motion sets for various hazard levels, considering dynamic properties of structures and site-specific characteristics.A 4-story SMRF building is designed and modeled in OpenSeesPy with and without MIWs.A total of 1,500 nonlinear time-history analyses (NLTHAs) are performed across 15 hazard levels, and structural demands are evaluated in terms of inter-story drift ratio (IDR).Fragility functions are developed for three performance levels.The results reveal that MIWs significantly reduce IDR with average reductions of up to 55%.Moreover, the inclusion of MIWs greatly improves fragility performance, lowering the probability of exceeding critical performance levels.
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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".