<p>Fatigue damage is a noteworthy issue for aerospace engineering, and many titanium alloy structural components are highly susceptible to damage under long-term service conditions at high temperatures. Numerical simulations based on Seeger's fatigue life theory and the improved Lemaitre's damage evolution theory were used to study the fatigue behavior of four Ti<sub>2</sub>AlNb alloy structural components. Firstly, high-temperature tensile test and high-temperature low-cycle fatigue test were carried out on the Ti<sub>2</sub>AlNb alloy structural members, and then the finite element models of the four structural members were established by using ABAQUS, and the parameters of the damage model were determined through the checking of fatigue test and the fatigue life simulation results of the standard parts, and the fatigue data of the Ti<sub>2</sub>AlNb alloy structural members in different literatures were consulted to validate the reasonableness of the simulation data. Fatigue life prediction is also carried out for the standard circular openings, center elliptical openings members, center reinforced openings members, and sides reinforced U-shaped openings members of Ti<sub>2</sub>AlNb alloy. The effects of temperature, stress concentration factor, and load amplitude on the fatigue life of Ti<sub>2</sub>AlNb alloy structural members are summarized based on the final data. Finally, a BP neural network is used to predict the fatigue life of Ti<sub>2</sub>AlNb alloy structural members These results further investigate the damage mechanism of Ti<sub>2</sub>AlNb alloy structural members, which is favorable for their engineering applications.</p>

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Numerical Analysis of the Low-Cycle Fatigue Performance of Ti2AlNb Alloy Components with Perforations

  • Yanju Wang,
  • Qiwen Xu,
  • Xingwu Li,
  • Aixue Sha,
  • Wenfeng Hao

摘要

Fatigue damage is a noteworthy issue for aerospace engineering, and many titanium alloy structural components are highly susceptible to damage under long-term service conditions at high temperatures. Numerical simulations based on Seeger's fatigue life theory and the improved Lemaitre's damage evolution theory were used to study the fatigue behavior of four Ti2AlNb alloy structural components. Firstly, high-temperature tensile test and high-temperature low-cycle fatigue test were carried out on the Ti2AlNb alloy structural members, and then the finite element models of the four structural members were established by using ABAQUS, and the parameters of the damage model were determined through the checking of fatigue test and the fatigue life simulation results of the standard parts, and the fatigue data of the Ti2AlNb alloy structural members in different literatures were consulted to validate the reasonableness of the simulation data. Fatigue life prediction is also carried out for the standard circular openings, center elliptical openings members, center reinforced openings members, and sides reinforced U-shaped openings members of Ti2AlNb alloy. The effects of temperature, stress concentration factor, and load amplitude on the fatigue life of Ti2AlNb alloy structural members are summarized based on the final data. Finally, a BP neural network is used to predict the fatigue life of Ti2AlNb alloy structural members These results further investigate the damage mechanism of Ti2AlNb alloy structural members, which is favorable for their engineering applications.