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<p>To ensure sustainability and mitigate environmental pollution from the repeated testing of materials to determine their mechanical properties, researchers have developed empirical models to represent the mechanical properties of concrete. These models leverage existing data from previous experiments, allowing for more efficient predictions without extensive new testing. By utilizing these models, engineers can optimize material selection and design processes, ultimately leading to more sustainable construction practices. This work introduces novel empirical models for predicting the mechanical properties of recycled aggregate concrete (RAC). A comprehensive test database (more than 1000 data points) has been compiled, encompassing the results of 512 compressive strength tests, 313 splitting tensile strength tests, and 249 flexural strength tests of concrete, derived from an exhaustive literature review. The collected data was statistically analyzed and modeled. The efficacy of current mechanical property models of RACs is evaluated utilizing the database, and the findings of this evaluation are illustrated through certain statistical indicators. The assessment results demonstrate that the proposed models are in good agreement with the experimental data. The R<sup>2</sup> and RMSE values for the proposed RAC models were 0.91 and 0.299&#xa0;MPa for split tensile strength, 0.94 and 0.320&#xa0;MPa for flexural strength, and 0.83 and 5.39&#xa0;MPa for compressive strength. These models provide more accurate predictions of RAC mechanical properties compared to existing models.</p>

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Innovative approach for modeling the mechanical properties of the concrete modified with recycled aggregate for various curing times and mix proportions

  • 期刊论文

  • 发表日期：

    2025年10月27日

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  • Yousif J. Bas,
  • Jamal I. Kakrasul,
  • Kamaran S. Ismail,
  • Samir M. Hamad

摘要

To ensure sustainability and mitigate environmental pollution from the repeated testing of materials to determine their mechanical properties, researchers have developed empirical models to represent the mechanical properties of concrete. These models leverage existing data from previous experiments, allowing for more efficient predictions without extensive new testing. By utilizing these models, engineers can optimize material selection and design processes, ultimately leading to more sustainable construction practices. This work introduces novel empirical models for predicting the mechanical properties of recycled aggregate concrete (RAC). A comprehensive test database (more than 1000 data points) has been compiled, encompassing the results of 512 compressive strength tests, 313 splitting tensile strength tests, and 249 flexural strength tests of concrete, derived from an exhaustive literature review. The collected data was statistically analyzed and modeled. The efficacy of current mechanical property models of RACs is evaluated utilizing the database, and the findings of this evaluation are illustrated through certain statistical indicators. The assessment results demonstrate that the proposed models are in good agreement with the experimental data. The R2 and RMSE values for the proposed RAC models were 0.91 and 0.299 MPa for split tensile strength, 0.94 and 0.320 MPa for flexural strength, and 0.83 and 5.39 MPa for compressive strength. These models provide more accurate predictions of RAC mechanical properties compared to existing models.