AI Summary & Key Takeaways
AI InsightObtained results show that, besides the Transfer Matrix Method whose efficiency on technical problems such as buckling and vibration was seen previously, the Neural Network Method also an efficient and reliable method for determination of buckling load of cracked compression members and columns.
📌 3 Key Takeaways
Abstract
In this work, the buckling problem of constant rectangular cross-sectional slender prismatic compression members having a nonpropagating open edge crack is investigated by Transfer Matrix and Neural Network methods. Obtained results show that, besides the Transfer Matrix Method whose efficiency on technical problems such as buckling and vibration was seen previously, the Neural Network Method also an efficient and reliable method for determination of buckling load of cracked compression members and columns.
Özet
Bu çalIŞmada, ilerlemeyen tek bir kenar çatla?y olan sabit dikdörtgen kesitli narin basynç çubuklarynyn burkulma problemi Transfer Matrisi Yöntemi (TMY) ve Yapay Sinir A?lary (YSA) ile incelenmeye çaly?ylmy?tyr. Elde edilmi? olan sonuçlar, daha önce burkulma ve titre?im gibi teknik problemlere uygulanarak etkinli?i görülmü? olan TMY yanynda, YSA yönteminin de çatlakly basynç çubuklarynyn ve kolonlaryn burkulma yüklerinin belirlenmesinde etkili ve güvenilir bir yöntem oldu?unu ortaya koymu?tur.