The analysis of moment-curvature relationship of reinforced concrete sections is complex due to large number of variables as well as non-linear material behavior involved. Artificial Neural Networks (ANNs) are found to be a tool capable of solving such problems. This has led to increasing use of ANN for analyzing the behavior of reinforced concrete sections. This paper reports the details of a study conducted using ANN for predicting moment-curvature relationship of a reinforced concrete section. Using data generated based on the analytical solutions, the ANN model was trained. The trained model was tested for a different set of input parameters and the output values were compared with the values based on analytical results. The agreement w...
87-94In this study, artificial neural network (ANN) method is used to predict the deflection value...
Degradation of the bond between reinforcement steel bars and concrete poses a huge challenge to the ...
The objective of this study is to investigate the adequacy of Artificial Neural Networks (ANN) as a ...
To be able to understand the behavior of reinforced concrete (RC) members, cross sectional behavior ...
The application of neural networks for predicting the stress-strain relationships of reinforced conc...
AbstractFiber reinforced polymers (FRPs) have found increasingly wide applications in structural eng...
In the last decade, conventional materials such as steel and concrete are being replaced by fiber re...
This paper aims to explore the feasibility of the potential use of artificial neural networks (ANN) ...
An artificial neural network model is developed to predict the shear capacity of reinforced concrete...
© 2005 EUCENTRE. All rights reserved. An artificial neural network (ANN) model was developed using p...
Concrete is known as one of the fundamental materials in construction with its high amount of use. L...
This paper aims to explore the feasibility of the potential use of artificial neural networks (ANN) ...
Concrete is known as one of the fundamental materials in construction with its high amount of use. L...
The research presents ANN ("Artificial Neural Networks") estimation of confined peak strength for R....
The application of artificial neural networks (ANNs) to predict the ultimate shear strengths of rein...
87-94In this study, artificial neural network (ANN) method is used to predict the deflection value...
Degradation of the bond between reinforcement steel bars and concrete poses a huge challenge to the ...
The objective of this study is to investigate the adequacy of Artificial Neural Networks (ANN) as a ...
To be able to understand the behavior of reinforced concrete (RC) members, cross sectional behavior ...
The application of neural networks for predicting the stress-strain relationships of reinforced conc...
AbstractFiber reinforced polymers (FRPs) have found increasingly wide applications in structural eng...
In the last decade, conventional materials such as steel and concrete are being replaced by fiber re...
This paper aims to explore the feasibility of the potential use of artificial neural networks (ANN) ...
An artificial neural network model is developed to predict the shear capacity of reinforced concrete...
© 2005 EUCENTRE. All rights reserved. An artificial neural network (ANN) model was developed using p...
Concrete is known as one of the fundamental materials in construction with its high amount of use. L...
This paper aims to explore the feasibility of the potential use of artificial neural networks (ANN) ...
Concrete is known as one of the fundamental materials in construction with its high amount of use. L...
The research presents ANN ("Artificial Neural Networks") estimation of confined peak strength for R....
The application of artificial neural networks (ANNs) to predict the ultimate shear strengths of rein...
87-94In this study, artificial neural network (ANN) method is used to predict the deflection value...
Degradation of the bond between reinforcement steel bars and concrete poses a huge challenge to the ...
The objective of this study is to investigate the adequacy of Artificial Neural Networks (ANN) as a ...