Abstract

Elastic modulus is one of the most important mechanical properties of concrete (including recycled aggregate concrete), and it has a notable guiding significance for engineering. There is a lack of micromechanical research on the elastic modulus of recycled aggregate concrete. This paper adopts four models based on micromechanics, including the Voigt model, Reuss model, Eshelby method, and Mori–Tanaka method, to predict the elastic modulus of recycled aggregate concrete. The optimal model is determined by comparing the results of the four models with the experimental data. On this basis, some previous prediction methods for the elastic modulus of concrete are employed to be compared with the most satisfactory models in this paper. Several experimental data from the open literature are also utilized to better illustrate the reliability of the prediction models. It is concluded that the Mori–Tanaka method unfailingly produces more accurate predictions compared to other models. It gives the best overall approximation for various data and has extensive effects in predicting the elastic modulus of RAC. This work may be helpful in promoting the development of micromechanics research in recycled aggregate concrete.

Highlights

  • The results showed that the proposed models based on the support vector regression (SVR) and artificial neural network (ANN) techniques were more precise

  • This paper adopts four models to predict the elastic modulus of recycled aggregate concrete (RAC) based on micromechanics

  • Some methods for predicting the elastic modulus of concrete proposed in the previous literature are employed to be compared with the most satisfactory one in this paper

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. With the large-scale reconstruction of old villages and infrastructure construction, a large amount of construction waste has been generated along with various construction activities. According to the “Annual Report on China’s Comprehensive Utilization of Resource (2014)”, 500 million tons of construction waste was produced in 2009, which has significantly doubled in 2013. According to construction waste yield estimates, in 2018, the annual yield of construction waste reached approximately 1875.79 million tons [1]. If construction waste reduction management and resource utilization cannot be implemented in time, the output of construction waste will continue to rise in the future

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