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GP-based Prediction for Punching Shear Capacity of FRP-reinforced Two-way Slabs   
Yazarlar (3)
Ahmet Emin Kurtoğlu
İstanbul Gelişim Üniversitesi, Türkiye
Abdulkadir Çevik
Gaziantep Üniversitesi, Türkiye
Prof. Dr. Mahmut BİLGEHAN Prof. Dr. Mahmut BİLGEHAN
İstanbul Arel Üniversitesi, Türkiye
Devamını Göster
Özet
In this study, a new genetic programming (GP) based design model for the prediction of punching shear capacity of FRP-reinforced two-way slabs is proposed. The proposed model is an empirical model based on 53 experimental studies available in the literature. As opposed to existing equations in the literature, the span length of slab (L) has been included in the proposed formulation in order to increase the performance of prediction. The generalization capability of the model is verified by means of extensive parametric studies. The proposed model is also compared with existing design codes and formulations available in the literature and is found to be more accurate. The results are illustrated both in tabular and graphical form.
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale
Dergi Adı International Journal of Technical Research and Applications
Dergi ISSN 2320-8163
Dergi Tarandığı Indeksler CiteFactor, Computer Science Directory, ResearchGate, Index Copernicus, wePapers, Open research, Google Scholar, WikiCFP, Scribd
Makale Dili İngilizce
Basım Tarihi 11-2014
Cilt No 2
Sayı 6
Sayfalar 1 / 6
Makale Linki www.ijtra.com
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları

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