报告题目：Toward Adaptive Restraint System Designs for Motor-Vehicle Crashes: Challenges and Opportunities面向机动车碰撞的自适应约束系统设计：挑战与机遇
主讲人：Jingwen Hu Research Associate Professor（University of Michigan）
时间：2018年12月21日上午9:30-10:30
地点：机械院316报告厅
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主讲人简介：Dr. Jingwen Hu is a Research Associate Professor in the University of Michigan Transportation Research Institute Biosciences Group.He also holds a joint appointment at the Department of Mechanical Engineering. Dr. Hu's research interests primarily focus on impact/injury biomechanics in motor-vehicle crashes by a multidisciplinary approach using a combination of experimental, computational, and epidemiological procedures. One of the highlights of his recent research is the development of parametric computational human models representing a diverse population. Such models have been used to study the injury mechanism and safety design optimizations for various vulnerable populations, such as children, elderly, obese occupants, pedestrians, pregnant women, and wheelchair users. Dr. Hu is an author of over 100 peer-reviewed journal and conference papers. As the lead author, he has received three "Best Paper Awards" (2013, 2015, and 2015), UMTRI Research Excellence Award (2016), and University of Michigan Research Faculty Achievement Award (2017). His research has been funded by National Highway Traffic Safety Administration (NHTSA), National Science Foundation (NSF), National Institute of Justice (NIJ), U.S. Army Tank Automotive Research Development and Engineering Center (TARDEC), and Auto Industry (Ford, GM, Toyota, ZF, Britax, JCI, etc.).
胡敬文博士是密歇根大学交通运输研究所的研究副教授，同时也是机械工程系的兼职教授。胡博士的研究方向主要集中在采用试验、仿真、流行病学等多种方法研究汽车碰撞中的撞击/损伤生物力学。最近研究的一个亮点是开发代表不同人群的参数化人体有限元模型，这些模型已被用于研究各种弱势群体的损伤机理和安全优化设计，例如儿童、老年人、肥胖者、行人、孕妇和轮椅使用者。胡博士发表论文100多篇，获得了三项“最佳论文奖”（2013、2015和2015年）、UMTRI卓越研究奖（2016年）和密歇根大学研究院成就奖（2017年）。他承担了由美国国家公路交通安全管理局（NHTSA）、美国国家科学基金会（NSF）、美国国家司法研究所（NIJ）、美国陆军坦克汽车研究开发和工程中心（TARDEC）以及汽车工业（福特、通用汽车）的多项资助项目。
报告简介：The current design process for vehicle restraint systems relies extensively on crash tests defined in federal standards and New Car Assessment Programs (NCAP). However, such crash tests only cover limited crash conditions and a few sizes (i.e. midsize male and small female) of crash test dummies in normal seating postures. The increased proportion of obese and older populations, the introduction of active safety features, and the advances in self-driving cars all pose significant challenges in the current safety designs, and require significant changes in restraint systems to adapt to the changing occupant demographics, occupant seating postures, and crash conditions. This talk will introduce a few UMTRI studies on parametric human modeling, restraint system optimization in oblique impacts, occupant dynamics in pre-crash maneuvers, and safety concerns in highly automated vehicles, all of which are toward adaptive restraint systems that can provide enhanced occupant protection in a wide range of occupant and crash conditions.
目前用于车辆约束系统的设计广泛依赖于各种法规和新车评估程序（NCAP）中定义的碰撞测试。然而，这种碰撞测试仅涵盖有限碰撞条件下的正常坐姿的特定尺寸（即中型男性和小型女性）碰撞测试假人。随着肥胖和老年人口比例的增加、主动安全功能的引入以及自动驾驶汽车的进步，都对当前的汽车安全设计构成了重大挑战，并且需要对约束系统进行重大改变以适应不断变化的乘员人口统计特征、乘员坐姿和碰撞条件。本讲座将介绍UMTRI关于参数化人体模型的研究，斜碰撞中的约束系统参数优化，碰撞预警系统作用下的乘员动力学，以及智能车辆中的碰撞安全问题等。所有这些研究都是为了满足自适应（智能）约束系统在广泛的乘员和碰撞条件下提供最佳的乘员保护。