在LS-DYNA中为开源扩展的Hill型肌肉模型开发和验证一个生理学动机的内部控制器
Oleksandr V Martynenko1, Fabian Kempter2, Christian Kleinbach2
1Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Nobelstr. 15, 70569, Stuttgart, Germany. oleksandr.martynenko@simtech.uni-stuttgart.de.
Biomechanics and modeling in mechanobiology
|August 5, 2023
概括
这项研究为活跃的人体模型引入了改进的肌肉控制器,提高了乘客安全系统的可用性和仿真速度. 与现有方法相比,新模型表现出卓越的生理准确性和运动行为.
科学领域:
- 生物力学 生物力学
- 计算建模计算建模
- 乘客安全系统 乘客安全系统
背景情况:
- 活跃的人体模型对于乘客安全至关重要,但由于复杂的肌肉控制器和长时间的模拟时间而面临限制.
- 现有的模型往往缺乏生理准确性和高效的运动控制策略,阻碍了研究和工业的广泛采用.
研究的目的:
- 开发和实施一个以生理学为灵感的肌肉控制器,用于开源扩展的Hill型肌肉模型.
- 改进集成乘客安全系统的活跃人体模型的可用性,运行性能和生理准确性.
主要方法:
- 在基于Fortran的LS-DYNA umat41子程序中使用生理灵感策略实现了一个新的肌肉控制器.
- 使用了两个全身有限元模型 (VIVA OpenHBM, THUMS v5) 和一个简化臂模型进行模拟.
- 用广泛的实验数据验证了模型,涵盖了被动,开环,闭环和反射肌肉激活场景.
主要成果:
- 与标准的LS-DYNA肌肉材料相比,增强的肌肉模型显示了更高的可用性,更好的运行性能和更高的生理准确性.
- 验证实验显示出良好的至极好的生物真实性,并且与手臂,椎和全身模型的实验数据有足够的一致性.
- 集成控制器通过参数转移促进了类似的肌肉骨模型中简化运动模拟.
结论:
- 开发的肌肉控制器显著提高了在乘客安全应用中活跃的人体模型的功能.
- 改进的缓冲和弹性特性导致更好的动力学行为,即使在被动状态.
- 这项工作为在各种负载条件下利用增强型活体人体模型提供了坚实的基础.
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