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Predicting the lifespan of a total hip prosthesis (THP) is a critical step in the design, manufacturing, and surgical processes, enabling surgeons to determine the necessity of prosthesis replacement before crack propagation occurs. This study aims to estimate the walking lifespan of a THP with an initial crack of 0.5 mm. By employing a range of optimization algorithms—including artificial neural network (ANN) based backpropagation algorithm, ANN-based Balancing Composite Motion Optimization (BCMO), Genetic Algorithm (GA), Arithmetic Optimization Algorithm (AOA) and Particle Swarm Optimization (PSO)—the prosthesis lifespan is predicted based on fatigue finite element data from the literature. The critical fatigue crack length is estimated to be 18.525 mm, with the corresponding number of cycles calculated at 79,936,000, offering more precise predictions than previous studies. The estimated walking lifespan of the prosthesis ranges from 31 to 50 years. This research builds on existing work and suggests that further improvements could be achieved by applying more advanced ANN algorithms and extending the analysis to activities beyond walking.

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Advanced Prediction of Cracked Total Hip Prosthesis Lifespan Using ANN-Based Optimization Algorithms

  • 会议论文

  • 发表日期：

    2025年

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  • Khalil Chenaifi,
  • Samir Khatir

摘要

Predicting the lifespan of a total hip prosthesis (THP) is a critical step in the design, manufacturing, and surgical processes, enabling surgeons to determine the necessity of prosthesis replacement before crack propagation occurs. This study aims to estimate the walking lifespan of a THP with an initial crack of 0.5 mm. By employing a range of optimization algorithms—including artificial neural network (ANN) based backpropagation algorithm, ANN-based Balancing Composite Motion Optimization (BCMO), Genetic Algorithm (GA), Arithmetic Optimization Algorithm (AOA) and Particle Swarm Optimization (PSO)—the prosthesis lifespan is predicted based on fatigue finite element data from the literature. The critical fatigue crack length is estimated to be 18.525 mm, with the corresponding number of cycles calculated at 79,936,000, offering more precise predictions than previous studies. The estimated walking lifespan of the prosthesis ranges from 31 to 50 years. This research builds on existing work and suggests that further improvements could be achieved by applying more advanced ANN algorithms and extending the analysis to activities beyond walking.