The Impact of Bracing System Distribution and Location on Seismic Performance Enhancement of Multi-Story Steel Buildings
Bibliographic record
Abstract
This study employed the ETABS v16 program to design a multi-story steel building subjected to gravity load.Nine variations of bracing systems were subsequently integrated in both the X and Y planes, utilizing different types of braces such as megabraced frames (MBFs), inverted V-bracing, and X-bracing in various locations and distribution configurations.The intention was to enhance the structural performance, gauged by parameters including maximum roof displacement, base shear, base moments, and drift ratio.To isolate the impact of bracing location and distribution pattern on seismic force resistance, the weight of the bracing at each story was held constant across all models.A non-linear time-history analysis was performed on the models in both the X and Y directions using SAP2000 V20, incorporating the El-Centro earthquake.The analyses revealed that Model 9 outperformed the others, reducing the maximum roof displacement and drift ratio in both directions by averages of 46.1% and 41%, respectively.Moreover, in relation to base shear, Model 9 demonstrated superior performance compared to the other models.
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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 | 0.000 | 0.001 |
| 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".