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Predictive modeling of rheological, mechanical and durability characteristics of hybrid fiber-reinforced self-compacting concrete

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Abstract

This study highlights the utilization of additives in superplasticizers, fly ash, polypropylene fibers, and carbon steel fibers to achieve the designed fresh and mechanical characteristics of Self-compacting concrete (SCC) while considering environmental sustainability. This study employs Taguchi's L18 design methodology to investigate the impact of the additives with varying levels on the rheological and mechanical properties of SCC. The research assesses both fresh properties (slump flow, V-funnel, J-ring) and hardened properties (split tensile and compressive strength at 7 and 28 days) of self-compacting concrete. Apart from conventional tests, microstructural analysis of fly ash and designed mixes are also performed wherein X-ray diffraction is utilized to classify fly ash, SEM is utilized to get microscopic insights into the arrangement and interaction of components, and EDS is utilized to quantify the elemental composition. This two-tiered approach enables a thorough grasp of the impact of regulating materials on both the macro properties and microstructure of SCC. Further, multiple regression analysis develops a predictive model using experimental data to understand how these components influence SCC characteristics. Notably, the study reveals that fibers have a detrimental effect on SCC flow properties but a beneficial impact on hardened concrete properties. Likewise, the influence of superplasticizers outweighs that of fly ash in shaping SCC properties. Remarkably, microstructural insights align with the predictive model, highlighting the dominance of superplasticizers over fly ash. This holistic methodology bridges the gap between material composition, macro behavior, and microstructure, enriching our comprehension of SCC. It offers a robust foundation for enhancing SCC's performance across applications.

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  1. MPSTME, NMIMS (Deemed to Be University), Mumbai, India

    Achal Agrawal

  2. Department of Civil Engineering, SVKM’s Institute of Technology Dhule, Maharashtra, 424001, India

    Achal Agrawal & Narayan R. Chandak

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Agrawal, A., Chandak, N.R. Predictive modeling of rheological, mechanical and durability characteristics of hybrid fiber-reinforced self-compacting concrete. Innov. Infrastruct. Solut. 9, 131 (2024). https://doi.org/10.1007/s41062-024-01444-2

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