This paper presents a comprehensive investigation into the finite element (FE) modelling of concrete cylinders confined with Fiber Reinforced Polymer (FRP) under uniaxial compressive loading. The FE model is developed using an extended Drucker-Prager (DP) plasticity-based constitutive framework to accurately simulate the complex triaxial stress states characteristic of FRP-confined concrete. Key parameters, including the yield criterion, hardening-softening behaviour, and flow rule, are calibrated based on experimental data. The model is implemented in ABAQUS and validated against experimental results from this study and three independent data sets. The validation highlights the model’s accuracy in predicting ultimate strength, ultimate strain, and overall stress-strain behaviour. This study demonstrates the effectiveness of the proposed FE model in simulating the compressive behaviour of FRP-confined concrete, offering valuable insights for selecting FE modelling parameters in future research.

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Finite Element Analysis of FRP-Confined Concrete Cylinders

  • Nisreen Salameh,
  • Raafat El-Hacha

摘要

This paper presents a comprehensive investigation into the finite element (FE) modelling of concrete cylinders confined with Fiber Reinforced Polymer (FRP) under uniaxial compressive loading. The FE model is developed using an extended Drucker-Prager (DP) plasticity-based constitutive framework to accurately simulate the complex triaxial stress states characteristic of FRP-confined concrete. Key parameters, including the yield criterion, hardening-softening behaviour, and flow rule, are calibrated based on experimental data. The model is implemented in ABAQUS and validated against experimental results from this study and three independent data sets. The validation highlights the model’s accuracy in predicting ultimate strength, ultimate strain, and overall stress-strain behaviour. This study demonstrates the effectiveness of the proposed FE model in simulating the compressive behaviour of FRP-confined concrete, offering valuable insights for selecting FE modelling parameters in future research.