Experimental Investigation on Mechanical Properties of Concrete containing Nano Wollastonite and Modeling with GMDH-type Neural Networks

Document Type : Research Article

Authors

1 Assistant professor, Civil Engineering Dept., University of Sistan and Baluchestan, Zahedan, Iran

2 Ph.D. Student, Civil Engineering Dept., University of Sistan and Baluchestan, Zahedan, Iran

3 M.Sc. Student, Civil Eng. Dept., Birjand Branch, Islamic Azad University, Birjand, Iran

Abstract

Wollastonite is a natural and low cost material, which can be replaced by cement in concrete. In the present paper, the influence of Nano Wollastonite on mechanical and durability of concrete was investigated using the measurement of compressive and flexural strength and water penetration on concrete specimens after 3, 7, 28 and 60 days. The results show that flexural strength increase of 63%, compressive strength of 9% and water penetration resistance with around 50% by substitute of 10% Nano Wollastonite. GMDH-type neural networks were used for modeling of these concrete properties. The aim of such modeling is to make a model for predicting of compressive and flexural strength of concrete with the different percentage of Nano Wollastonite. The age and percent of Nano Wollastonite were used as an input variables. The results show that the outputs of neural network model have a good agreement with experimental data.

Keywords

References

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