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一种用于对具有广泛身高和体型的男女有限元全身人体模型进行变形的自动化方法。

An automated method to morph finite element whole-body human models with a wide range of stature and body shape for both men and women.

作者信息

Zhang Kai, Cao Libo, Fanta Abeselom, Reed Matthew P, Neal Mark, Wang Jenne-Tai, Lin Chin-Hsu, Hu Jingwen

机构信息

State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan, China; University of Michigan Transportation Research Institute, Ann Arbor, MI, USA.

State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan, China.

出版信息

J Biomech. 2017 Jul 26;60:253-260. doi: 10.1016/j.jbiomech.2017.06.015. Epub 2017 Jun 21.

DOI:10.1016/j.jbiomech.2017.06.015
PMID:28668185
Abstract

Field data analyses have shown that small female, obese, and/or older occupants are at increased risks of death and serious injury in motor-vehicle crashes compared with mid-size young men. The current adult finite element (FE) human models represent occupants in the same three body sizes (large male, mid-size male, and small female) as those for the contemporary adult crash dummies. Further, the time needed to develop an FE human model using the traditional method is measured in months or even years. In the current study, an improved regional mesh morphing method based on landmark-based radial basis function (RBF) interpolation was developed to rapidly morph a mid-size male FE human model into different geometry targets. A total of 100 human models with a wide range of human attributes were generated. A pendulum chest impact condition was applied to each model as an initial assessment of the resulting variability in response. The morphed models demonstrated mesh quality similar to the baseline model. The peak impact forces and chest deflections in the chest pendulum impacts varied substantially with different models, supportive of consideration of population variation in evaluating the occupant injury risks. The method developed in this study will enable future safety design optimizations targeting at various vulnerable populations that cannot be considered with the current models.

摘要

现场数据分析表明,与中等身材的年轻男性相比,身材矮小的女性、肥胖者和/或年长者在机动车碰撞事故中死亡和受重伤的风险更高。当前的成人有限元(FE)人体模型所代表的乘员与当代成人碰撞假人的三种体型相同(大型男性、中等身材男性和小型女性)。此外,使用传统方法开发一个有限元人体模型所需的时间是以月甚至年来计算的。在本研究中,开发了一种基于地标径向基函数(RBF)插值的改进区域网格变形方法,以快速将中等身材男性有限元人体模型变形为不同的几何目标。总共生成了100个具有广泛人类属性的人体模型。将摆锤式胸部撞击条件应用于每个模型,作为对由此产生的响应变异性的初步评估。变形后的模型显示出与基线模型相似的网格质量。胸部摆锤撞击中的峰值撞击力和胸部变形在不同模型之间有很大差异,这支持在评估乘员受伤风险时考虑人群差异。本研究中开发的方法将使未来能够针对当前模型无法考虑的各种弱势群体进行安全设计优化。

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