School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia.
School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia; Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.
J Biomech. 2021 Jan 22;115:110163. doi: 10.1016/j.jbiomech.2020.110163. Epub 2020 Dec 3.
Finite element analysis (FEA) provides a powerful approach for estimating the in-vivo loading characteristics of the hip joint during various locomotory and functional activities. However, time-consuming procedures, such as the generation of high-quality FE meshes and setup of FE simulation, typically make the method impractical for rapid applications which could be used in clinical routine. Alternatively, discrete element analysis (DEA) has been developed to quantify mechanical conditions of the hip joint in a fraction of time compared to FEA. Although DEA has proven effective in the estimation of contact stresses and areas in various complex applications, it has not yet been well characterised by its ability to evaluate contact mechanics for the hip joint during gait cycle loading using data from several individuals. The objective of this work was to compare DEA modelling against well-established FEA for analysing contact mechanics of the hip joint during walking gait. Subject-specific models were generated from magnetic resonance images of the hip joints in five asymptomatic subjects. The DEA and FEA models were then simulated for 13 loading time-points extracted from a full gait cycle. Computationally, DEA was substantially more efficient compared to FEA (simulation times of seconds vs. hours). The DEA and FEA methods had similar predictions for contact pressure distribution for the hip joint during normal walking. In all 13 simulated loading time-points across five subjects, the maximum difference in average contact pressures between DEA and FEA was within ±0.06 MPa. Furthermore, the difference in contact area ratio computed using DEA and FEA was less than ±6%.
有限元分析(FEA)为估计髋关节在各种运动和功能活动中的体内负荷特性提供了一种强大的方法。然而,生成高质量的 FE 网格和设置 FE 模拟等耗时的过程使得该方法不适用于可能在临床常规中使用的快速应用。相反,离散元分析(DEA)已被开发用于在与 FEA 相比的短时间内量化髋关节的力学条件。尽管 DEA 在估计各种复杂应用中的接触应力和区域方面已被证明是有效的,但它尚未通过其在使用来自多个个体的数据评估步态周期负荷期间髋关节接触力学的能力得到很好的描述。这项工作的目的是比较 DEA 建模与经过验证的 FEA,以分析行走步态期间髋关节的接触力学。从五个无症状受试者的髋关节磁共振图像生成了特定于受试者的模型。然后,针对从完整步态周期中提取的 13 个加载时间点对 DEA 和 FEA 模型进行了模拟。从计算的角度来看,DEA 比 FEA 效率高得多(模拟时间为秒与小时)。在正常行走过程中,DEA 和 FEA 方法对髋关节的接触压力分布有相似的预测。在五个受试者的 13 个模拟加载时间点中,DEA 和 FEA 之间平均接触压力的最大差异在±0.06 MPa 以内。此外,使用 DEA 和 FEA 计算的接触面积比的差异小于±6%。