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Calculation of Homogenized Mechanical Coefficients of Fiber-Reinforced Composite Using Finite Element Method
Mostafa Katouzian1, Sorin Vlase2, Calin Itu1
1Department of Mechanical Engineering, Transilvania University of Brașov, B-dul Eroilor, 20, 500036 Brașov, Romania.
This study determines composite material elastic constants using homogenization theory and the finite element method (FEM). A least squares approach refines FEM results for accurate engineering elastic constants in fiber-reinforced composites.
Area of Science:
- Materials Science
- Mechanical Engineering
- Computational Mechanics
Background:
- Determining composite material mechanical properties is crucial for design but often complex.
- Existing theoretical methods can be difficult to apply practically due to numerical challenges.
- Composite materials are increasingly utilized across various engineering applications.
Purpose of the Study:
- To obtain engineering elastic constants for composite materials.
- To apply theoretical results from homogenization theory.
- To provide a practical and accurate method for elastic constant determination.
Main Methods:
- Utilizing homogenization theory for theoretical underpinnings.
- Employing the finite element method (FEM) to calculate stress and strain fields.
- Applying the method of least squares to minimize errors and enhance FEM estimations.
- Analyzing multiple load cases for robust estimations.
Main Results:
- Successfully obtained engineering elastic constants for a transversely isotropic composite material.
- Demonstrated the effectiveness of combining homogenization theory with FEM.
- Validated the least squares method for refining FEM-derived elastic constants.
- Provided accurate elastic constants for a real-world composite case.
Conclusions:
- The proposed method accurately determines elastic constants for composite materials.
- The integration of homogenization theory, FEM, and least squares offers a powerful approach.
- This methodology is applicable to various composite structures and geometries.
- The findings contribute to more reliable composite material design and analysis.
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