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<p>The extensive use of concrete presents significant environmental challenges due to the carbon-intensive production of Portland cement and the material’s inherent brittleness. This study addresses the gap in optimized multi-component concrete mixtures by investigating the synergistic effects of fly ash (FA) and glass fiber (GF) on concrete′s mechanical performance. A hybrid blend was developed incorporating FA (0–50%) as a partial replacement of cement by weight and GF (0–1.5%) by weight of binder. A fixed 10% silica fume (SF) was also included in all mixes to enhance pozzolanic reactivity and matrix densification. Unlike prior studies that examined these additives in isolation, this study evaluates their combined effect. Mechanical properties were assessed using Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) to optimise and predict performance outcomes. The optimal mix, consisting of 35% FA and 1% GF, exhibited strength improvements of 22%, 28%, and 18% at 28&#xa0;days for compressive, split tensile, and flexural strength, respectively. ANOVA confirmed the statistical significance of the RSM model (R<sup>2</sup>&#xa0;&gt;&#xa0; 0.95; <i>p</i>&#xa0;&lt;&#xa0; 0.005), while the ANN models demonstrated excellent predictive accuracy, effectively capturing the nonlinear interactions among input parameters. Additionally, including FA contributed to a reduction in CO<sub>2</sub> emissions by approximately 30%, underscoring the mix’s environmental advantages. This study presents a statistically optimized, high-performance, and eco-efficient concrete formulation that offers a balanced strength enhancement and sustainability solution in modern construction.</p>

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Experimental and predictive modeling of GF and FA modified concrete for enhanced strength and sustainability

  • 期刊论文

  • 发表日期：

    2025年11月6日

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  • S. Azhagarsamy,
  • N. Pannirselvam

摘要

The extensive use of concrete presents significant environmental challenges due to the carbon-intensive production of Portland cement and the material’s inherent brittleness. This study addresses the gap in optimized multi-component concrete mixtures by investigating the synergistic effects of fly ash (FA) and glass fiber (GF) on concrete′s mechanical performance. A hybrid blend was developed incorporating FA (0–50%) as a partial replacement of cement by weight and GF (0–1.5%) by weight of binder. A fixed 10% silica fume (SF) was also included in all mixes to enhance pozzolanic reactivity and matrix densification. Unlike prior studies that examined these additives in isolation, this study evaluates their combined effect. Mechanical properties were assessed using Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) to optimise and predict performance outcomes. The optimal mix, consisting of 35% FA and 1% GF, exhibited strength improvements of 22%, 28%, and 18% at 28 days for compressive, split tensile, and flexural strength, respectively. ANOVA confirmed the statistical significance of the RSM model (R2 >  0.95; p <  0.005), while the ANN models demonstrated excellent predictive accuracy, effectively capturing the nonlinear interactions among input parameters. Additionally, including FA contributed to a reduction in CO2 emissions by approximately 30%, underscoring the mix’s environmental advantages. This study presents a statistically optimized, high-performance, and eco-efficient concrete formulation that offers a balanced strength enhancement and sustainability solution in modern construction.