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May 11, 2026Ain Shams Engineering Journal0 citationsOpen Access

Experimental analysis, microstructural and predictive regression modelling of mechanical, durability properties of polypropylene fibre concrete

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SSS. SowmyaRPRama Mohan Rao Pannem

Key Points

  • To identify the dose-response relationship and predictive modeling of polypropylene fiber content in concrete.
  • Evaluated M40 concrete mixtures with 0–0.25% polypropylene fiber (PPF).
  • Characterized microstructure using FTIR, TGA/DTA, XRD, FESEM-EDS, and micro-CT for pore structure analysis.
  • Developed non-linear regression models in MATLAB to evaluate fiber dosage effects on performance.
  • Optimal 0.20% PPF concentration increased tensile, flexural, and impact resistance by 158%.
  • Water absorption reduced by 50% due to improved pore structure and matrix densification.
  • Regression models showed strong predictive capability (R² > 0.90) for critical performance variables.

Abstract

Polypropylene fibre-reinforced concrete (PPFRC) enhances mechanical properties and durability; nevertheless, the dose–response relationship and predictive modelling of fibre content remain unidentified. Experimental evaluation enhanced microstructural characterization, and regression-based predictive modelling are used to delineate definitive relationships between fiber dosage and concrete performance.M40 concrete mixtures containing 0–0.25% polypropylene fiber (PPF) was evaluated. Compressive, tensile, flexural, and impact resistance were quantified, together with water absorption and sorptivity. FTIR, TGA/DTA, XRD, FESEM-EDS, and micro-CT were used to investigate the pore structure and interfacial transition zone behaviour, focusing on microstructural development. Furthermore, MATLAB non-linear regression models evaluated the impact of fiber dosage on performance. The ideal concentration of 0.20% PPF enhances tensile, flexural, and impact resistance by 158%. Water absorption decreased by 50% due to pore refinement and matrix densification, enhancing durability. The regression models demonstrated strong predictive capability (R 2 > 0.90), showing non-linear dose–response relationships in critical variables. Microstructural analysis of fibre-modified concrete revealed reduced pore connectivity, enhanced interfacial transition zone quality, and stable hydration phases. The study offers a quantitative and predictive methodology for optimizing actual fiber dosage, rather than relying on qualitative assessments. These findings facilitate the development of high-performance, durability, and sustainable fiber-reinforced concrete solutions for optimal mix design and structural applications.

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Cite This Study

Sowmya et al. (2026) studied this question.

synapsesocial.com/papers/6a0171ce3a9f334c28271df6https://doi.org/10.1016/j.asej.2026.104228
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