Prediction of Concrete Strength Using Microwave Based Accelerated Curing Parameters by Neural Network (2013)

Content Provider	CiteSeerX
Author	Neelakantan, T. R. Ramasundaram, S. Vinoth, R.
Abstract	Abstract—Prediction of compressive strength of concrete is very useful for economic constructions. The compressive strength can be estimated after 28 days of casting the specimen cubes or may be predicted based on the quantum and quality of ingredients used in making the concrete. When the first one requires a 28-day time, the second one does have problem of accuracy. Hence, a hybrid model is proposed in which the concrete cube is cured using the microwave based accelerated curing procedure and the early strength is used to predict the 28-day strength. Feed-forward neural network model was used to predict compressive strength of the concrete after the microwave curing to ascertain the predictability of neural network models. The results indicate that the neural network models have a good scope for further study and implementations. Keyword- Accelerated curing of concrete, microwave curing, neural network I.
File Format	PDF
Journal	International Journal of Engineering and Technology
Language	English
Publisher Date	2013-01-01
Access Restriction	Open
Subject Keyword	Neural Network Concrete Strength Using Microwave Accelerated Curing Parameter Compressive Strength Neural Network Model Hybrid Model Abstract Prediction Feed-forward Neural Network Model Keyword Accelerated Curing Curing Procedure 28-day Time 28-day Strength Second One Good Scope Early Strength Concrete Cube Economic Construction
Content Type	Text
Resource Type	Article