A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Modeling the Shear Strength of Reinforced Aerated Concrete Slabs via Support Vector Regression
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.
Modeling the Shear Strength of Reinforced Aerated Concrete Slabs via Support Vector Regression
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.
Modeling the Shear Strength of Reinforced Aerated Concrete Slabs via Support Vector Regression
Kurtoğlu, Ahmet Emin (author) / Bakbak, Derya (author)
2019-03-29
14
Article (Journal)
Electronic Resource
English
DDC:
690
Shear strength of reinforced aerated concrete slabs
| Springer Verlag | 1989
Shear strength of reinforced aerated concrete slabs
| Online Contents | 1989
Reinforced autoclaved aerated concrete roof slabs
| British Library Conference Proceedings | 2002
Shear Strength of Deep Reinforced Concrete Slabs
| NTIS | 1969
Shear strength of reinforced aerated concrete beams with shear reinforcement
| Online Contents | 1990