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Performance Prediction of Recycled Aggregate Concrete using ANN

B. Suguna Rao*, Srikanth. M. Naik **

*-** Department of Civil Engineering, M. S. Ramaiah Institute of Technology, Bangalore, Karnataka, India.

Periodicity:September - November'2020
DOI : https://doi.org/10.26634/jste.9.3.16891

Abstract

Urbanization and industrialization has led to increased construction activities which is adversely affecting environment by increasing the quantum of waste being generated. India is generating about 48 million tonnes of solid waste out of which 25% of waste is developed from construction and demolition (C and D) waste. This increased quantum of waste needs to be handled to avoid impact on global warming. Huge demand of concrete as a material of construction increases the demand of natural aggregates to fulfill the needs of the construction activities. To overcome the huge demand of aggregates by effectively using natural aggregates along with C and D waste as recycled aggregates is one of the amicable solutions. Hence this work aims at preparing recycled aggregate concrete by partially replacing natural aggregates to provide a sustainable solution by utilizing recycled aggregates from C and D waste. The objective of this study is to prepare recycled aggregate concrete by partially replacing natural aggregates by recycled aggregates to achieve the strength required and predicting its performance using ANN for 28 days compressive strength by considering various input parameters that influences the strength of recycled aggregate concrete. Strength behavior of recycled aggregate concrete are predicted using ANN to understand its behavior for aggregates used from various sources. ANN helps in predicting the strength of recycled aggregate based on input parameters considered. Hence this study is carried out initially by preparing recycled aggregate concrete with various replacement ratios and validating using ANN. For validation of 28 day compressive strength, 148 data set is collected from the literatures and is used for testing and training ANN. ANN has the potential to validate for 28 day compressive strength.

Keywords

C and D waste, Recycled Aggregate Concrete, ANN, Compressive Strength.

How to Cite this Article?

Rao, B. S., and Naik, S. M. (2020). Performance Prediction of Recycled Aggregate Concrete using ANN. i-manager's Journal on Structural Engineering, 9(3), 8-14. https://doi.org/10.26634/jste.9.3.16891

References

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Performance Prediction of Recycled Aggregate Concrete using ANN

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