Prediction of Mechanical Properties of Glass Fiber Reinforced Concrete Using Micromechanical Techniques

Authors

Keywords:

Glass Fiber Reinforced Concrete, Micromechanical techniques, Representative volume element

Abstract

A composite material is a combination of two or more materials on a macroscopic scale whose mechanical properties depend on the volume percentage and characteristics of their primary constituents. Concrete is the most common man-made composite in the world used for construction purposes. Determining the important mechanical properties of the concrete and selecting the best combination of the constituents is a major task in the construction industry. This paper is based on homogenization theory and finite element modeling to predict the Young's modulus, shear modulus and Poisson ratio of glass fiber reinforced concrete. In order to determine the above properties of fiber reinforced concrete, the elastic tensor matrix of a unidirectionally distributed fiber reinforced concrete composite was solved using the Voigt and Ruess series model. Furthermore, Abaqus was used to simulate the axial compression of fiber-reinforced concrete, yielding the desired results. The accuracy was confirmed by a comparison between the theoretically anticipated values based on homogenization and the simulated values from the finite element method.

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Author Biographies

  • Kavya B R, Adichunchanagiri Institute of Technology, Chikkamagaluru

    Assistant Professor

    Department of Civil Engineering

  • H S Sureshchandra, PES College of Engineering, Mandya

    Professor

    Department of Civil Engineering

  • Shrikanth A S, Adichunchanagiri Institute of Technology, Chikkamagaluru

    Associate Professor and Head

    Department of Mathematics

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Published

24-06-2025

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Section

Articles

How to Cite

Kavya B R, H S Sureshchandra, & Shrikanth A S. (2025). Prediction of Mechanical Properties of Glass Fiber Reinforced Concrete Using Micromechanical Techniques. International Journal of Sustainable Construction Engineering and Technology, 16(1), 145-153. https://penerbit.uthm.edu.my/ojs/index.php/IJSCET/article/view/17485