A New Formulation to Estimate the Elastic Modulus of Recycled Concrete Based on Regression and ANN

Emerson Felipe Felix, Edna Possan and Rogério Carrazedo
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Emerson Felipe Felix: Department of Structural Engineering, University of São Paulo at São Carlos School of Engineering, São Carlos 13566-590, Brazil
Edna Possan: Latin American Institute of Technology, Infrastructure and Territory, Federal University of Latin American Integration, Foz do Iguaçu 85866-000, Brazil
Rogério Carrazedo: Department of Structural Engineering, University of São Paulo at São Carlos School of Engineering, São Carlos 13566-590, Brazil

Sustainability, 2021, vol. 13, issue 15, 1-21

Abstract: A new formulation to estimate the elastic modulus of concrete containing recycled coarse aggregate is proposed in this work using artificial neural networks (ANN) and nonlinear regression. Up to six predictors variables were used to training 243 ANN. The models were generated based on results obtained from experimental campaigns. Feedforward neural network and Levenberg–Marquardt back propagation algorithm were used for training the ANN. The best ANN was found with the architecture 6-4-2-1 (input -1st hidden layer -2nd hidden layer -output), attaining a root-mean-square error of 2.4 GPa associated with a coefficient of determination of 0.91. Once the ANN model was established, 46,656 concrete samples were created. These were employed to formulate the model using nonlinear regression. The developed model showed a highly efficient performance to predict the elastic modulus. Lastly, considering the parametric study conducted, the results pointed out that the approach can be applied to predict the concrete elastic modulus and can indicate better mix proportions for concretes containing natural and/or recycled coarse aggregates, enabling its use as a simulation tool in the development of engineering projects focused on durability and sustainability.

Keywords: machine learning; artificial neural networks; nonlinear regression; elastic modulus; recycled aggregate concrete (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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