Experimental and analytical investigation of a model towards predicting the compressive stress–strain behavior of Graded Glass Fiber Reinforced Concrete (GGFRC) using fiber reinforcing index

Author:

Kasagani Hanuma1ORCID,Prathipati S. R. R. Teja1ORCID,Koniki Srikanth2,Rao C. B. K.3

Affiliation:

1. Department of Civil Engineering V.R. Siddhartha Engineering college Vijayawada Andhra Pradesh India

2. Department of Civil Engineering Chaitanya Bharathi Institute of Technology (A) Gandipet Hyderabad Telangana India

3. Department of Civil Engineering JNTUH University College of Engineering Science and Technology Hyderabad Telangana India

Abstract

AbstractThe stress–strain behavior of graded glass fiber reinforced concrete (GGFRC) is a crucial factor in its performance and appropriateness for diverse applications. In the present study, experimental and analytical methods were used to develop a model for the stress–strain behavior of GGFRC under uniaxial loading. The experimental program is designed to investigate the impact of mono glass fibers (3, 6, 12, and 20 mm) with varying volume fractions (0.1%–0.5%) and graded glass fibers (combinations of 3 + 6 + 12 + 20 mm) on the behavior of concrete of M50 grade. By grading glass fiber lengths in the concrete, GGFRC's pre‐peak strength and post‐peak deformation have increased, allowing the composite to control the various scales of cracking. A uniaxial compressive stress–strain model has been developed utilizing the fiber reinforcing index to predict the stress–strain curves of GGFRC in compression. The fiber reinforcing index, which is a measure of the quantity of fiber reinforcement in the material, is used as a variable in the current model to observe how it impacts the material's behavior. This would help evaluate the material's behavior under uniaxial compressive loading conditions and then use that data to develop a mathematical model that can predict the material's response under other conditions. Finally, it can be concluded that there is a significant correlation between the experimental results and the proposed analytical model.

Publisher

Wiley

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