Determining the relationship between the beam and column bending moment capacity coefficient (MCR) with the parameters for determining the performance of the structure
Bibliographic record
Abstract
This research examines the relationship between the beam-to-column bending moment capacity ratio (MCR) and parameters that define the seismic performance of steel moment-resisting frames.Three, five, and eight-story steel structures were modeled and analyzed using nonlinear static (pushover) analysis in SAP2000 software.The results showed that as the MCR increases, lateral drift and displacement values also increase, while stiffness and overstrength coefficients decrease.An optimal MCR range is recommended to balance performance-based seismic safety and economic design efficiency. This paper was presented at the Conference on Civil, Architecture, and Urban Development of Islamic Countries in Tabriz, Iran (2018).No DOI was assigned by the conference; this Zenodo record ensures open-access availability and proper citation indexing in Google Scholar and ORCID.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| 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".