Application of Simplified Analysis Procedures for Performance‐Based Earthquake Evaluation of Steel Special Moment Frames
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Bibliographic record
Abstract
This paper evaluates the effectiveness of single and multi‐mode nonlinear static procedures (NSPs) as well as the FEMA P58 simplified approach versus rigorous nonlinear response history analyses (NRHA) for estimating seismic demands of steel special moment frames (SMFs). This work was mostly conducted within the framework of the ATC‐76‐6 project and indicates the level to which simplified analysis procedures in combination with commonly used nonlinear component models can reliably predict story‐level engineering demand parameters (EDPs) such as, story drift ratios, story shear forces, overturning moments, residual deformations and peak floor absolute accelerations. It is advisable to employ a combination of NSP and NRHA to understand the seismic performance of steel SMFs and quantify important EDPs.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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