Predicting the 28 Days Compressive Strength of Concrete Using Artificial Neural Network

Vol. 6  Issue 2
Year: 2016
Issue: Mar-May
Title: Predicting the 28 Days Compressive Strength of Concrete Using Artificial Neural Network
Author Name: Faezehossadat Khademi and Sayed Mohammadmehdi Jamal 
Synopsis:

Predicting the compressive strength of concrete has always been a difficulty, since the concrete is sensitive to its mixture components, methods of mixing, compaction, curing conditions, etc. Scientists have proposed different methods for predicting the compressive strength of concrete. Some of these methods have been successful, however, some others were not suitable enough to predict the compressive strength of concrete. The aim of this study is to evaluate the capability of Artificial Neural Network Model (ANN) in predicting the 28 days compressive strength of concrete. Therefore, considering the specific concrete characteristics as input variables, Artificial Neural Network Model is constructed and the compressive strength of concrete is predicted. Results show that ANN is a suitable model to predict the 28 days compressive strength of concrete.