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<p>Porous concrete is a common material for urban street pavements, employed to reduce water pollution and improve urban runoff quality. While existing research has extensively explored the influence of crumb rubber on the physical properties of porous concrete, the effects of recycled plastic and epoxy additives have been less thoroughly investigated. In this study, we explored the influence of crumb rubber, recycled plastic, and epoxy additives on the physical properties of concrete composites. To systematically evaluate a broad range of mixture designs, two sampling techniques were utilized: uniform random sampling and the Taguchi orthogonal array design. Experimental data were employed to develop and validate two meta-models: kriging and artificial neural networks (ANN). These models accurately predicted the physical properties of porous concrete and quantified the influence of key parameters. Furthermore, reliability and sensitivity analyses were performed on the performance function utilizing surrogate models and Monte Carlo simulations. The analysis provided valuable insights into the factors impacting the durability and performance of porous concrete. The estimated failure probabilities, derived from kriging and ANN models, were 0.043 and 0.057, respectively, underscoring the need for careful design and material selection. Sensitivity analysis revealed that fluctuations in the mean and variance of the epoxy weight percentage parameter exert a significantly greater influence on failure probability, approximately 0.923 and 0.79 times, respectively, compared to other factors. Notably, the compressive strength and permeability of the concrete were primarily affected by the size of the crumb rubber variable. The incorporation of smaller crumb rubber particles (0.4–1&#xa0;mm) exhibited a more pronounced reduction in compressive strength, while larger particles (1–5&#xa0;mm) demonstrated a greater influence on permeability. Conversely, the recycled plastic variable had a negligible impact on both properties. This study provides a comprehensive analysis of the physical properties of porous concretes, leveraging polymer adsorbents and meta-modeling techniques.</p>

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Experimental Study on Enhancing the Performance of Porous Concrete with Polymer Adsorbents Using Kriging, Artificial Neural Network, and Taguchi Methodologies

  • 期刊论文

  • 发表日期：

    2025年3月12日

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  • Fatemeh Nadali,
  • Mehdi Sedighi,
  • Emad Kahrizi,
  • Taher Rajaee

摘要

Porous concrete is a common material for urban street pavements, employed to reduce water pollution and improve urban runoff quality. While existing research has extensively explored the influence of crumb rubber on the physical properties of porous concrete, the effects of recycled plastic and epoxy additives have been less thoroughly investigated. In this study, we explored the influence of crumb rubber, recycled plastic, and epoxy additives on the physical properties of concrete composites. To systematically evaluate a broad range of mixture designs, two sampling techniques were utilized: uniform random sampling and the Taguchi orthogonal array design. Experimental data were employed to develop and validate two meta-models: kriging and artificial neural networks (ANN). These models accurately predicted the physical properties of porous concrete and quantified the influence of key parameters. Furthermore, reliability and sensitivity analyses were performed on the performance function utilizing surrogate models and Monte Carlo simulations. The analysis provided valuable insights into the factors impacting the durability and performance of porous concrete. The estimated failure probabilities, derived from kriging and ANN models, were 0.043 and 0.057, respectively, underscoring the need for careful design and material selection. Sensitivity analysis revealed that fluctuations in the mean and variance of the epoxy weight percentage parameter exert a significantly greater influence on failure probability, approximately 0.923 and 0.79 times, respectively, compared to other factors. Notably, the compressive strength and permeability of the concrete were primarily affected by the size of the crumb rubber variable. The incorporation of smaller crumb rubber particles (0.4–1 mm) exhibited a more pronounced reduction in compressive strength, while larger particles (1–5 mm) demonstrated a greater influence on permeability. Conversely, the recycled plastic variable had a negligible impact on both properties. This study provides a comprehensive analysis of the physical properties of porous concretes, leveraging polymer adsorbents and meta-modeling techniques.