Yates Keegan M, Agnew Amanda M, Albert Devon L, Kemper Andrew R, Untaroiu Costin D
Virginia Tech, Blacksburg, VA, USA.
The Ohio State University, Columbus, OH, USA.
J Mech Behav Biomed Mater. 2021 Apr;116:104358. doi: 10.1016/j.jmbbm.2021.104358. Epub 2021 Jan 28.
Rib fractures are common thoracic injuries in motor vehicle crashes. Several human finite element (FE) human models have been created to numerically assess thoracic injury risks. However, the accurate prediction of rib biomechanical response has shown to be challenging due to human variation and modeling approaches. The main objective of this study was to better understand the role of modeling approaches on the biomechanical response of human ribs in anterior-posterior bending. Since the development of subject specific rib models is a time-consuming process, the second objective of this study was to develop an accurate morphing approach to quickly generate high quality subject specific rib meshes. The exterior geometries and cortical-trabecular boundaries of five human 6th-level ribs were extracted from CT-images. One rib mesh was developed in a parametric fashion and the other four ribs were developed with an in-house morphing algorithm. The morphing algorithm automatically defined landmarks on both the periosteal and endosteal boundaries of the cortical layer, which were used to morph the template nodes to target geometries. Three different cortical bone material models were defined based on the stress-strain data obtained from subject-specific tensile coupon tests for each rib. Full rib anterior-posterior bending tests were simulated based on data recorded in testing. The results showed similar trends to test data with some sensitivity relative to the material modeling approach. Additionally, the FE models were substantially more resistant to failure, highlighting the need for better techniques to model rib fracture. Overall, the results of this work can be used to improve the biofidelity of human rib finite element models.
肋骨骨折是机动车碰撞中常见的胸部损伤。已经创建了几种人体有限元(FE)模型来数值评估胸部损伤风险。然而,由于人体差异和建模方法,肋骨生物力学响应的准确预测已被证明具有挑战性。本研究的主要目的是更好地理解建模方法对人体肋骨在前后弯曲时生物力学响应的作用。由于开发个体特异性肋骨模型是一个耗时的过程,本研究的第二个目的是开发一种精确的变形方法,以快速生成高质量的个体特异性肋骨网格。从CT图像中提取了五根人类第6级肋骨的外部几何形状和皮质-小梁边界。一个肋骨网格以参数化方式开发,另外四个肋骨则使用内部变形算法开发。该变形算法自动在皮质层的骨膜和骨内膜边界上定义地标,用于将模板节点变形为目标几何形状。基于从每根肋骨的个体特异性拉伸试样测试获得的应力-应变数据,定义了三种不同的皮质骨材料模型。根据测试记录的数据模拟了全肋骨前后弯曲试验。结果显示出与测试数据相似的趋势,对材料建模方法有一定的敏感性。此外,有限元模型对失效的抵抗力明显更强,突出了需要更好的技术来模拟肋骨骨折。总体而言,这项工作的结果可用于提高人体肋骨有限元模型的生物逼真度。