Habibi Saeed, Nazari Shalkouhi Mohammad, Keyhani Dehnavi Mohammad Javad, Sharbatdar Mahkame, Rassoli Aisa
Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran.
Biomed Eng Comput Biol. 2025 Jun 25;16:11795972251351766. doi: 10.1177/11795972251351766. eCollection 2025.
In this study, reliability methods were demonstrated as a promising approach in medical engineering by identifying the most significant muscle forces affecting femoral stress. First, the finite element method (FEM) in Abaqus software was used to model the effects of 10 muscle and joint forces across various regions of the femur. Then, using the response surface methodology (RSM), and examining the effect coefficients of each joint and muscle force, the hip joint reaction force with an impact coefficient of 210.97 was identified as the most effective force on bone stress. After that, the gluteus minimus and gluteus medius muscle forces were ranked second and third in terms of stress effect with coefficients of 66.6 and 34.47. This study showed that the anterior femoral muscles have a significant effect on stress compared to the posterior femoral muscles. RSM enables faster and more precise identification of joint and muscle forces influencing femoral stresses compared to conventional methods. This innovative approach not only increased the understanding of biomechanical phenomena, but also provided a more efficient tool for investigating and optimizing such processes in biomedical engineering applications.
在本研究中,可靠性方法通过识别影响股骨应力的最主要肌肉力量,被证明是医学工程领域一种很有前景的方法。首先,使用Abaqus软件中的有限元方法(FEM)对跨越股骨各个区域的10种肌肉和关节力的影响进行建模。然后,运用响应面方法(RSM)并检查每个关节和肌肉力的效应系数,确定冲击系数为210.97的髋关节反作用力是对骨应力影响最大的力。之后,臀小肌和臀中肌的肌肉力在应力效应方面分别排名第二和第三,系数分别为66.6和34.47。本研究表明,与股后肌相比,股前肌对应力有显著影响。与传统方法相比,RSM能够更快、更精确地识别影响股骨应力的关节和肌肉力。这种创新方法不仅增进了对生物力学现象的理解,还为生物医学工程应用中此类过程的研究和优化提供了更有效的工具。