主讲题目：Virtual human body model for fast safety assessment
主 讲 人：Luděk Hynčík 教授
时 间：2018年1月8日（周1）下午15:00
地 点：河西校区主楼C区报告厅
欢迎广大师生踊跃参加！
天津市轻工与食品工程机械装备集成设计与在线监控重点实验室
2018年1月5日
主讲人简介：Luděk Hynčík教授，现任捷克西波西米亚大学新技术研究中心主任。Luděk Hynčík博士主要从事汽车碰撞安全和损伤生物力学研究，尤其对人体多刚体和有限元混合虚拟人体模型的构建及其在汽车安全中的应用进行了深入研究，同时对交通事故重构以及飞机紧急迫降时驾驶员和乘员的安全进行了研究。Luděk Hynčík博士在各种国际期刊发表论文20多篇。
Abstract：Road traffic accidents cause one of the highest numbers of severe injuries, because mobility is a part of everyday life in all countries over the world. The modes of transport are changing for future decades and challenges such as multi-modal transport including autonomous cars, two-wheelers and other modes of transport brings new safety issues to be addressed. New impact scenarios covering multi-directional impacts can be hardly assessed using physical dummies due to the complex kinematics and loading conditions, so the virtual approach using human body models is the technology useful for future safety assessment.
The presentation focuses on hybrid scalable virtual human body model. The hybridity means that there is a skeleton of the whole model created as a multi-body system covered by the skin segmented into rigid surface segments. Those segments enable local deformability by connection to the skeleton by spring and dampers. The main advantage of the hybrid approach is reasonably detailed injury assessment by reduced calculation time. The main advantage of the model is that it is verified and stable in many impact scenarios, covering all modes of transport including vulnerable road users like pedestrian, cyclist and motorcyclist. The model is fully validated for multi-directional segment and full scale impacts to assure its biofidelity in wide spectra of impact scenarios. The scalability means that the model can be automatically and quickly updated to any anthropometrical target group.
