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Kesme donatısız betonarme narin kirişlerin kesme dayanımının yapay sinir ağları kullanılarak tahmini

Predicting shear strength of reinforced concrete slender beams without shear reinforcement using artificial neural networks

Journal Name:

  • Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Publication Year:

  • 2017
DOI: 
10.5505/pajes.2016.42243

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
Design codes aim to prevent shear failure of reinforced concrete (RC) beams since it is a brittle failure. An accurate prediction of shear strength is important for a proper design of an RC beam. There exist various equations for predicting the shear strength of RC beams. With increasing computational power, it is possible to develop numerical models delivering more accurate predictions than those equations do. In this paper, an artificial neural network (ANN) model developed for predicting the shear strength of RC slender beams without shear reinforcement is presented. The comparisons of the model with five design code equations and fourteen equations proposed by various researchers are given. The model has a better performance than the considered equations do in predicting the shear strength of the beams considered in this study. A parametric study conducted for investigating the effects of various parameters on the shear strength of RC slender beams without shear reinforcement by using the ANN model is also presented. A significant size effect on the shear strength of RC slender beams without shear reinforcement is observed through the results of the parametric study.
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Abstract (Original Language): 
Yönetmelikler, betonarme kirişlerin kesmeden kırılmasını gevrek bir kırılma olduğu için önlemeyi amaçlar. Bir betonarme kirişin tasarımı için kesme dayanımının doğru tahmini önemlidir. Betonarme kirişlerin kesme dayanımını tahmin etmek için çeşitli denklemler mevcuttur. Artan hesaplama gücü sayesinde, bu denklemlerin yapabileceğinden daha doğru tahminler verecek nümerik modeller geliştirmek mümkündür. Bu makalede, kesme donatısız betonarme narin kirişlerin kesme dayanımını tahmin etmek için geliştirilmiş bir yapay sinir ağ modeli sunulmuştur. Modelin, beş tane yönetmelik denklemiyle ve farklı araştırmacılar tarafından önerilmiş 14 denklemle karşılaştırmaları verilmiştir. Model, bu çalışmada kullanılan kirişlerin kesme dayanımını tahmin etmekte ele alınan denklemlerden daha iyi performans sergilemiştir. Geliştirilen model kullanılarak çeşitli parametrelerin kesme donatısız betonarme narin kirişlerin kesme dayanımı üzerindeki etkilerini incelemek için yapılan bir parametrik çalışma da sunulmuştur. Bu parametrik çalışma sonucunda, kesme donatısız betonarme narin kirişlerin kesme dayanımı üzerinde önemli bir boyut etkisi gözlemlenmiştir.
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  • Turkish

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