Modeling the Shear Strength of Reinforced Aerated Concrete Slabs via Support Vector Regression
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Tarih
2019-03-29
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press
Erişim Hakkı
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 United States
Attribution-NonCommercial-NoDerivs 3.0 United States
Özet
Abstract- Autoclaved aerated concrete (AAC) attracts attention as it provides superior material characteristics such as high thermal insulation and environmentally friendly properties. Apart from non-structural applications, AAC is being considered as a structural material thanks to its characteristics such as lighter weight compared to normal concrete, resulting in lower design costs. This study focuses on the feasibility of support vector regression (SVR) in predicting the shear resistance of reinforced AAC slabs. An experimental dataset with 271 data points extracted from eleven sources is used to develop models. Based on random selection, the dataset is divided into two portions, 75% for model development and 25% for testing the validity of the model. Two SVR model types (epsilon and Nu) and four kernel functions (linear, polynomial, sigmoid and radial basis) are used for model development and the results of each model and kernel type is presented in terms of correlation coefficient (R 2 ) and mean squared error (MSE). Results show that epsilon model type with radial basis function yields the best SVR model. Keywords Autoclaved aerated concrete, reinforced concrete slab, shear strength, support vector regression, modelling.
Açıklama
Anahtar Kelimeler
Research Subject Categories::TECHNOLOGY
Kaynak
International Journal of Engineering Technologies
WoS Q Değeri
Scopus Q Değeri
Cilt
5
Sayı
1
