Fiber reinforced concrete corbels: modeling shear strength via symbolic regression

Küçük Resim Yok

Tarih

2017

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Techno-Press

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In this study, a novel application of symbolic regression (SR) is employed for the prediction of ultimate shear strength of steel fiber reinforced (SFRC) and glass fiber reinforced (GFRC) corbels without stirrups, for the first time in the literature. A database is created using the test results (42 tests) conducted by the authors of current paper as well as the previous studies available in the literature. A symbolic regression based empirical formulation is proposed using this database. The formulation is unique in a way that it has the capability to predict the shear strength of both SFRC and GFRC corbels. The performance of proposed model is tested against randomly selected testing set. Additionally, a parametric study with a wide range of variables is carried out to test the effect of each parameter on the shear strength. The results confirm the high prediction capacity of proposed model.

Açıklama

Anahtar Kelimeler

Symbolic Regression, Reinforced Concrete Corbel, Fiber Reinforced Concrete, Shear Strength, Glass Fiber, Steel Fiber

Kaynak

Computers and Concrete

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

20

Sayı

1

Künye