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<p>The rising demand for lightweight, high-performance materials in critical sectors underscores the need for precise predictions of composite behavior, particularly for complex three- dimensional (3D) woven architectures. This study presents a high-fidelity computational framework based on the Representative Volume Element (RVE) approach, specifically tailored for 3D woven orthogonal glass structural composites. The framework has been thoroughly validated against experimental results to ensure modelling accuracy. Initially, the predictive value of the RVE model for tensile behaviour was compared with experimental data, revealing discrepancies of 14.7% in the weft direction and 8.6% in the warp direction. Following this validation, the framework was systematically extended to model and forecast the complete range of compressive and shear properties and all independent elastic constants across the three principal directions of the composite. Subsequently, these derived homogenized properties were employed to simulate the bending behavior of glass composite laminates. The numerical results aligned closely with experimental outcomes, demonstrating a maximum error margin of 8.61%. This integrated methodology serves as a vital predictive tool for precise design, optimization, and reliable performance assessment of advanced 3D woven composite structures.</p> Graphical Abstract <p></p>

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Computational modelling of 3D orthogonal woven glass fibre-reinforced composites using a predictive RVE-based framework

  • 期刊论文

  • 发表日期：

    2026年1月23日

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  • Sameer Kumar Behera,
  • Satinder Paul Singh,
  • Bijoya Kumar Behera

摘要

The rising demand for lightweight, high-performance materials in critical sectors underscores the need for precise predictions of composite behavior, particularly for complex three- dimensional (3D) woven architectures. This study presents a high-fidelity computational framework based on the Representative Volume Element (RVE) approach, specifically tailored for 3D woven orthogonal glass structural composites. The framework has been thoroughly validated against experimental results to ensure modelling accuracy. Initially, the predictive value of the RVE model for tensile behaviour was compared with experimental data, revealing discrepancies of 14.7% in the weft direction and 8.6% in the warp direction. Following this validation, the framework was systematically extended to model and forecast the complete range of compressive and shear properties and all independent elastic constants across the three principal directions of the composite. Subsequently, these derived homogenized properties were employed to simulate the bending behavior of glass composite laminates. The numerical results aligned closely with experimental outcomes, demonstrating a maximum error margin of 8.61%. This integrated methodology serves as a vital predictive tool for precise design, optimization, and reliable performance assessment of advanced 3D woven composite structures.

Graphical Abstract