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<p>Carbon Fiber Reinforced Polymer (CFRP) and aluminum alloys are extensively applied in aerospace structures due to their outstanding lightweight and durable properties. However, failure of CFRP/Al bolted joints under hygrothermal conditions can compromise the mechanical performance of the jointed structure. This paper proposes a predictive approach integrating mesoscale simulation, Multi-Task Gaussian Process Regression (MTGPR), and a mechanism-based damage model. Focusing on CFRP materials, this study integrated experimental research, finite element simulation, and data-driven modeling to establish a mesoscale finite element model. Systematically analyzed the moisture absorption diffusion behavior and mechanical degradation patterns of CFRP under coupled hygrothermal conditions. The degradation mechanism model under hygrothermal perturbations was incorporated into the performance prediction of CFRP/Al bolted structures, enabled continuous evolutionary modeling and high-precision evaluation of the mechanical properties of the joint structure under hygrothermal perturbations. The results show that the developed prediction model exhibits excellent accuracy and trend consistency across multiple operating conditions. The R² values for predicting ultimate displacement, moisture absorption rate and ultimate load reached 0.956,0.967 and 0.924. This study provides technical support for the degradation assessment and failure prediction of composite material joint structures.</p>

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Modeling Study on the Mechanical Properties of CFRP Joint Under Hygrothermal Conditions

  • 期刊论文

  • 发表日期：

    2026年5月21日

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  • Hao Li,
  • Gengyi Li,
  • Yuxuan Cui,
  • Yao Wang,
  • Qing Zhao,
  • Zijian Zhang,
  • Shipeng Li,
  • Guoyu Fu

摘要

Carbon Fiber Reinforced Polymer (CFRP) and aluminum alloys are extensively applied in aerospace structures due to their outstanding lightweight and durable properties. However, failure of CFRP/Al bolted joints under hygrothermal conditions can compromise the mechanical performance of the jointed structure. This paper proposes a predictive approach integrating mesoscale simulation, Multi-Task Gaussian Process Regression (MTGPR), and a mechanism-based damage model. Focusing on CFRP materials, this study integrated experimental research, finite element simulation, and data-driven modeling to establish a mesoscale finite element model. Systematically analyzed the moisture absorption diffusion behavior and mechanical degradation patterns of CFRP under coupled hygrothermal conditions. The degradation mechanism model under hygrothermal perturbations was incorporated into the performance prediction of CFRP/Al bolted structures, enabled continuous evolutionary modeling and high-precision evaluation of the mechanical properties of the joint structure under hygrothermal perturbations. The results show that the developed prediction model exhibits excellent accuracy and trend consistency across multiple operating conditions. The R² values for predicting ultimate displacement, moisture absorption rate and ultimate load reached 0.956,0.967 and 0.924. This study provides technical support for the degradation assessment and failure prediction of composite material joint structures.