Nispel Kati, Lerchl Tanja, Senner Veit, Kirschke Jan S
Associate Professorship of Sport Equipment and Sport Materials, School of Engineering and Design, Technical University of Munich, 85748 Garching, Germany.
Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, 81675 Munich, Germany.
Bioengineering (Basel). 2023 Mar 1;10(3):315. doi: 10.3390/bioengineering10030315.
How back pain is related to intervertebral disc degeneration, spinal loading or sports-related overuse remains an unanswered question of biomechanics. Coupled MBS and FEM simulations can provide a holistic view of the spine by considering both the overall kinematics and kinetics of the spine and the inner stress distribution of flexible components. We reviewed studies that included MBS and FEM co-simulations of the spine. Thereby, we classified the studies into unidirectional and bidirectional co-simulation, according to their data exchange methods. Several studies have demonstrated that using unidirectional co-simulation models provides useful insights into spinal biomechanics, although synchronizing the two distinct models remains a key challenge, often requiring extensive manual intervention. The use of a bidirectional co-simulation features an iterative, automated process with a constant data exchange between integrated subsystems. It reduces manual corrections of vertebra positions or reaction forces and enables detailed modeling of dynamic load cases. Bidirectional co-simulations are thus a promising new research approach for improved spine modeling, as a main challenge in spinal biomechanics is the nonlinear deformation of the intervertebral discs. Future studies will likely include the automated implementation of patient-specific bidirectional co-simulation models using hyper- or poroelastic intervertebral disc FEM models and muscle forces examined by an optimization algorithm in MBS. Applications range from clinical diagnosis to biomechanical analysis of overload situations in sports and injury prediction.
背痛与椎间盘退变、脊柱负荷或运动相关的过度使用之间的关系仍然是生物力学中一个未解决的问题。耦合的多体系统(MBS)和有限元法(FEM)模拟可以通过考虑脊柱的整体运动学和动力学以及柔性部件的内部应力分布,提供脊柱的整体视图。我们回顾了包括脊柱的MBS和FEM联合模拟的研究。因此,我们根据数据交换方法将这些研究分为单向和双向联合模拟。几项研究表明,使用单向联合模拟模型可以为脊柱生物力学提供有用的见解,尽管同步这两个不同的模型仍然是一个关键挑战,通常需要大量的人工干预。双向联合模拟的特点是一个迭代的、自动化的过程,集成子系统之间不断进行数据交换。它减少了对椎骨位置或反作用力的人工校正,并能够对动态载荷情况进行详细建模。因此,双向联合模拟是一种有前途的新研究方法,可用于改进脊柱建模,因为脊柱生物力学中的一个主要挑战是椎间盘的非线性变形。未来的研究可能会包括使用超弹性或多孔弹性椎间盘FEM模型以及通过MBS中的优化算法检查的肌肉力,自动实现患者特异性双向联合模拟模型。其应用范围从临床诊断到运动中过载情况的生物力学分析以及损伤预测。