Evaluation and improvement of the Canadian seismic provisions for moderately ductile steel concentrically braced frames with chevron and split-X bracing
Bibliographic record
Abstract
This paper aims to (1) examine the influence of key design parameters on the seismic behaviour of steel chevron and split-X braced frames, with emphasis on damage concentration; (2) evaluate Canadian design provisions for such braced frames; and (3) propose improvements for more accurately estimating their seismic demands. By varying different design parameters, 21 frames are designed according to the Canadian steel design standard. A fibre-based numerical model is then developed to examine the seismic behaviour of the braced frames by performing nonlinear response history analysis. The analysis results are used to interrogate key design parameters, including brace force, column moment, beam unbalanced force, and deflection. A new parameter, called drift concentration ratio, is introduced to quantify damage concentration in braced frames. Furthermore, the adequacy of Canadian seismic provisions in predicting the seismic demands of steel chevron and split-X braced frames is examined. Finally, recommendations are made to estimate design demands on their columns and beams more accurately.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".