Mo Fuhao, Zheng Zhefen, Zhang Haotian, Li Guibing, Yang Zurong, Sun Deyi
State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, Hunan 410082, China; Aix-Marseille University, IFSTTAR, LBA UMRT24, Marseille, France.
State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, Hunan 410082, China.
J Biomech. 2020 Aug 26;109:109916. doi: 10.1016/j.jbiomech.2020.109916. Epub 2020 Jul 2.
Virtual finite element human body models have been widely used in biomedical engineering, traffic safety injury analysis, etc. Soft tissue modeling like skeletal muscle accounts for a large portion of a human body model establishment, and its modeling method is not enough explored. The present study aims to investigate the compressive properties of skeletal muscles due to different species, loading rates and fiber orientations, in order to obtain available parameters of specific material laws as references for building or improving the human body model concerning both modeling accuracy and computational cost. A series of compressive experiments of skeletal muscles were implemented for human gastrocnemius muscle, bovine and porcine hind leg muscle. To avoid long-time preservation effects, all experimental tests were carried out in 24 h after that the samples were harvested. Considering computational cost and generally used in the previous human body models, one-order hyperelastic Ogden model and three-term simplified viscoelastic quasi-linear viscoelastic (QLV) were selected for numerical analysis. Inverse finite element analysis was employed to obtain corresponding material parameters. With good fitting records, the simulation results presented available material parameters for human body model establishment, and also indicated significant differences of muscle compressive properties due to species, loading rates and fiber orientations. When considering one-order Ogden law, it is worthy of noting that the inversed material parameters of the porcine muscles are similar to those of the human gastrocnemius regardless of fiber orientations. In conclusion, the obtained material parameters in the present study can be references for global human body and body segment modeling.
虚拟有限元人体模型已广泛应用于生物医学工程、交通安全损伤分析等领域。像骨骼肌这样的软组织建模在人体模型构建中占很大一部分,但其建模方法尚未得到充分探索。本研究旨在探究不同物种、加载速率和纤维取向对骨骼肌压缩特性的影响,以便获得特定材料定律的可用参数,为构建或改进人体模型提供参考,同时兼顾建模精度和计算成本。对人体腓肠肌、牛和猪的后腿肌肉进行了一系列骨骼肌压缩实验。为避免长期保存的影响,所有实验测试均在样本采集后24小时内进行。考虑到计算成本以及先前人体模型中普遍使用的模型,选择了一阶超弹性奥格登模型和三项简化粘弹性准线性粘弹性(QLV)模型进行数值分析。采用逆有限元分析来获取相应的材料参数。拟合效果良好,模拟结果为人体模型构建提供了可用的材料参数,同时也表明了由于物种、加载速率和纤维取向导致的肌肉压缩特性存在显著差异。当考虑一阶奥格登定律时,值得注意的是,无论纤维取向如何,猪肌肉的反演材料参数与人体腓肠肌的相似。总之,本研究中获得的材料参数可为整体人体和身体节段建模提供参考。