The Seismic Performance Evaluation of An Eccentrically Braced Steel Frame by Non-Linear Analyses
Bibliographic record
Abstract
Bu çalışmada, Deprem Bölgelerinde Yapılacak Binalar Hakkında Yönetmelik-2007 (DBYBHY-2007) ye göre boyutlandırılan altı katlı dış merkez çaprazlı bir çelik perdenin deprem performansı, zaman tanım alanında doğrusal olmayan hesap yöntemi kullanılarak değerlendirilmiştir.Bu değerlendirmede göreli kat ötelemeleri, kat kesme kuvvetleri, çapraz ve kolonların iç kuvvet istemleri ile bağ kirişi kesme kuvveti ve dönme istemleri dikkate alınmıştır.Zaman tanım alanında doğrusal olmayan analizler yedi adet deprem ivme kaydı kullanılarak gerçekleştirilmiştir. Analizler sonucu elde edilen istemlerin ortalama değerleri esas alınarak dış merkez çaprazlı çelik perdelerin kullanıldığı orta yükseklikteki binalar için DBYBHY-2007'de öngörülen kapasite tasarımı yaklaşımının yeterliliği araştırılmıştır.The goal of this paper is to investigate the non-linear response and to assess the seismic performance of a six story eccentrically braced steel frame (EBF).For this, split-K-braced EBF with high ductility level designed according to the Turkish Earthquake Code-2007 (TEC-07) is analyzed under seven selected earthquake records.The performance of the EBF is assessed considering drift, story and base shear demands, brace and column axial forces and bending moment demands, link beam shear force and rotation demands.Mean values of the demands are used in the performance assessment.The provisions based on capacity design approach specified in TEC-07 for EBFs with high ductility level are discussed by employing the findings..
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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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".