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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In this study, lateral buckling at compression flange of steel beams having different sections and sizes is try to be established.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, lateral buckling at compression flange of steel beams having different sections and sizes is try to be established.
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Key Findings & Data:In this study, lateral buckling at compression flange of steel beams having different sections and sizes is try to be established.
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Conclusion & Impact:In this study, lateral buckling at compression flange of steel beams having different sections and sizes is try to be established.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Yanal burkulma · çelik kiris · yapay sinir aglari
Abstract
In this study, lateral buckling at compression flange of steel beams having different sections and sizes is try to be established.
Özet
Yapilan çalismada farkli kesit ve boyutlardaki çelik kirislerin basinç basliginda meydana gelen yanal burkulma, yapay sinir aglari ile tahmin edilmeye çalisilmistir.
Keywords
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Cite This Article
ÇAÇUR, İ., AGCAKOCA, E. (2007). Estimation of Lateral Buckling Load Factor of Steel Beams By Using Artificial Neural Networks. Electronic Letters on Science and Engineering, Cilt: 3 - Sayı: 1, 16–20. https://ajindex.com/articles/133719