Zhang Kai, Cao Libo, Wang Yulong, Hwang Eunjoo, Reed Matthew P, Forman Jason, Hu Jingwen
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan, China.
University of Michigan Transportation Research Institute, Ann Arbor, Michigan, USA.
Obesity (Silver Spring). 2017 Oct;25(10):1786-1794. doi: 10.1002/oby.21947. Epub 2017 Aug 17.
Field data analyses have shown that obesity significantly increases the occupant injury risks in motor vehicle crashes, but the injury assessment tools for people with obesity are largely lacking. The objectives of this study were to use a mesh morphing method to rapidly generate parametric finite element models with a wide range of obesity levels and to evaluate their biofidelity against impact tests using postmortem human subjects (PMHS).
Frontal crash tests using three PMHS seated in a vehicle rear seat compartment with body mass index (BMI) from 24 to 40 kg/m were selected. To develop the human models matching the PMHS geometry, statistical models of external body shape, rib cage, pelvis, and femur were applied to predict the target geometry using age, sex, stature, and BMI. A mesh morphing method based on radial basis functions was used to rapidly morph a baseline human model into the target geometry. The model-predicted body excursions and injury measures were compared to the PMHS tests.
Comparisons of occupant kinematics and injury measures between the tests and simulations showed reasonable correlations across the wide range of BMI levels.
The parametric human models have the capability to account for the obesity effects on the occupant impact responses and injury risks.
现场数据分析表明，肥胖显著增加了机动车碰撞中驾乘人员的受伤风险，但针对肥胖人群的损伤评估工具却严重匮乏。本研究的目的是使用网格变形方法快速生成具有广泛肥胖水平的参数化有限元模型，并根据使用尸体人类受试者（PMHS）的撞击试验评估其生物逼真度。
选择了使用三名坐在车辆后排座椅隔层中的PMHS进行的正面碰撞试验，其体重指数（BMI）范围为24至40kg/m²。为了开发与PMHS几何形状匹配的人体模型，应用了外部身体形状、肋骨、骨盆和股骨的统计模型，以使用年龄、性别、身高和BMI来预测目标几何形状。基于径向基函数的网格变形方法被用于将基线人体模型快速变形为目标几何形状。将模型预测的身体偏移和损伤指标与PMHS试验进行了比较。
试验与模拟之间的驾乘人员运动学和损伤指标比较显示，在广泛的BMI水平范围内具有合理的相关性。
参数化人体模型有能力考虑肥胖对驾乘人员碰撞反应和受伤风险的影响。
