Predicting the mechanical characterization of polymer hybrid fiber-reinforced concrete using linear regression analysis and various codes

Authors

  • Sreekumara Ganapathy VS Stella Mary's College of Engineering, Kanniyakumari (India)
  • Manju R Kumaraguru College of Technology, Coimbatore (India)
  • Sasikumar P Kumaraguru College of Technology, Coimbatore (India)

DOI:

https://doi.org/10.7764/RDLC.24.1.60

Keywords:

Hybrid fibers, polymer, polypropylene fiber, glass fiber, regression analysis.

Abstract

The current study examined the Mechanical Properties (MP) of the concrete with the addition of the hybrid fibers and acrylic polymer in various proportions. Additionally, the MP of the concrete are compared using linear regression analysis and various design codes. A total of 56 mixes were examined the MP of the concrete, also the 56 mixes are divided in the 8 groups. The main objectives of the study, examine the mechanical properties of the concrete, find out the optimum mix proportions, and compare the experimental results to the proposed results. Based on the experimental results, the hybrid fiber RC carried out better than the remaining mixes. The Flexural Strength (FS) of the concrete improved by 16.99%, 26.66%, 12.43%, 8.26%, 20.37%, 24.63%, 13.96%, and 7.97%, respectively, which is compared to the control mix. Also, the proposed methods help to predict the results of experimental methods. Based on the analytical study, the ACI code and linear regression analysis results are highly correlated compared to the remaining codes.

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Published

2025-04-27

How to Cite

Ganapathy VS, S., R, M. ., & P, S. (2025). Predicting the mechanical characterization of polymer hybrid fiber-reinforced concrete using linear regression analysis and various codes. Revista De La Construcción. Journal of Construction, 24(1), 60–74. https://doi.org/10.7764/RDLC.24.1.60

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