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Experimental and Analytical Behavior of Recycled Aggregate Concrete Using ANN

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Advances in Structural Engineering

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 74))

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Abstract

Mother Earth is facing major environment-related problems today such as global warming and loss of biodiversity. This brings in the need for sustainability concepts that meets the need of the present without compromising the ability of future generations to meet theirs. Use of recycled materials in construction, such as recycled aggregates from construction and demolition (C & D) site, fly ash and silica fume leads us to less energy consumption in terms of production of cement, transportation, etc., less quarrying and thus protection of biodiversity at both quarrying site and dumping sites. But the properties of recycled material such as recycled aggregate are substantially different from that of natural aggregates; hence, the prediction of performance of recycled aggregate concrete becomes difficult. Here, an attempt is made to predict the performance of recycled aggregate concrete (RAC) using modern soft computing tool, i.e., artificial neural network (ANN). From the data set available, 150 effective subset were utilized to analyse the data effectively. The potential strength of recycled aggregate concrete was predicted by feeding ANN with the available set of experimental data. Here, the compressive strength of recycled aggregate concrete was used as output parameter. The variation of strength predicted is around 5% with respect to experimental values. The results from ANN can be refined further with the inclusion of source of recycled aggregate concrete, type of RAC and percentage of adhered mortar, etc.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, M.S. Ramaiah Institute of Technology, Visvesvaraya Technological University, Bangalore, Karnataka, India

    B. Suguna Rao

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

    Vithal Joshi & Srikanth M. Naik

Authors
  1. B. Suguna Rao
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  2. Vithal Joshi
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  3. Srikanth M. Naik
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Corresponding author

Correspondence to B. Suguna Rao .

Editor information

Editors and Affiliations

  1. Indian Institute of Technology Hyderabad, Sangareddy, India

    K. V. L. Subramaniam

  2. Mahindra Ecole Centrale, Hyderabad, India

    Mohd Ataullah Khan

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Suguna Rao, B., Joshi, V., Naik, S.M. (2020). Experimental and Analytical Behavior of Recycled Aggregate Concrete Using ANN. In: Subramaniam, K., Khan, M. (eds) Advances in Structural Engineering. Lecture Notes in Civil Engineering, vol 74. Springer, Singapore. https://doi.org/10.1007/978-981-15-4079-0_16

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  • DOI: https://doi.org/10.1007/978-981-15-4079-0_16

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  • Online ISBN: 978-981-15-4079-0

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