Determination of Optimum Configurations for Steel-Braced Frames with Segmental Elastic Spines
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A simplified analysis method is proposed to predict the response of segmental elastic spine–braced frames (SESBFs) and select the appropriate truss-segment configuration for a given frame. The method relies on a simplified structure model that can reproduce both the elastic flexural response and inelastic shear response of the braced-frame system. The proposed simplified model is described, and a flowchart is presented to illustrate the steps leading to the frame properties required to achieve the optimum seismic drift response for a given truss-segment configuration. In the design, the process is repeated for different potential truss-segment configurations, and their seismic responses are compared to select a suitable configuration for the structure. The application of the proposed procedure is illustrated for a 24-story building structure located in Vancouver, British Columbia, Canada. Five different truss-segment arrangements were investigated, and two configurations were identified as appropriate for the structure. Final design of the four most promising candidates was performed to confirm the findings from the preliminary design, and the comparison confirmed that the proposed method and simplified analysis model are suitable tools for the preliminary design of SESBFs.
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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 | 0.000 | 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 it