Yoganandan Narayan, Humm John, Greenhalgh Preston, Somers Jeffrey
Center for NeuroTrauma Research, Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin.
KBR Wyle, Houston, Texas.
Traffic Inj Prev. 2020 Oct 12;21(sup1):S176-S178. doi: 10.1080/15389588.2020.1829925. Epub 2020 Nov 11.
The objectives of the study are to derive lower-neck-injury probability curves under rear impact loading from matched pair Hybrid III and THOR dummy tests.
Twelve whole-body and 15 isolated head-neck rear-impact sled tests were conducted using the 2 dummies. They were positioned on a rigid seat that was attached to an acceleration sled. The dummies were positioned with the head parallel to the ground, torso against the seat back, and legs stretched such that there was no axial rotation. The acceleration pulse matched the previous in-house human cadaver tests. The 6-axis lower-neck load cell was used in both dummies. For the isolated rear-impact tests, the head-neck was excised from the dummies, and the lower-neck load cell was mounted to the top of the sled with the head parallel to the ground and such that the acceleration vector was in the rear impact mode. Lower-neck loads and lower-neck-injury criteria (LN) were obtained using the load cell data and survival analysis was used to develop injury-assessment-risk values and curves for both dummies. The LN criteria were determined for both dummies using the intercept value corresponding to the 90% probability level for the forces and moments.
The lognormal and Weibull distributions were the optimal distributions for the Hybrid III and THOR devices. At the 50% risk level, the mean LN was 1.1 and NCIS was 0.77 for the Hybrid III, and 1.5 and 0.30 for the THOR device. The quality indices were in the fair range and good range for the 2 dummies, respectively, at this risk level.
The lower neck based LN injury assessment risk curves and reference values, IARCs and IARVs, serve as the first dataset for injury assessments, and the THOR may be a better test device for assessing injures in rear impact environments.
本研究的目的是通过配对的Hybrid III和THOR假人试验得出后碰撞载荷下的下颈部损伤概率曲线。
使用这两种假人进行了12次全身和15次孤立头部 - 颈部后碰撞雪橇试验。它们被放置在一个固定在加速雪橇上的刚性座椅上。假人的头部与地面平行,躯干靠在座椅靠背上,腿部伸展,使得没有轴向旋转。加速度脉冲与之前的内部人体尸体试验相匹配。两种假人均使用了6轴下颈部测力传感器。对于孤立的后碰撞试验,从假人身上切除头部 - 颈部,并将下颈部测力传感器安装在雪橇顶部,头部与地面平行,且加速度矢量处于后碰撞模式。使用测力传感器数据获得下颈部载荷和下颈部损伤标准(LN),并使用生存分析为两种假人制定损伤评估风险值和曲线。使用对应于力和力矩90%概率水平的截距值为两种假人确定LN标准。
对数正态分布和威布尔分布是Hybrid III和THOR装置的最佳分布。在50%风险水平下,Hybrid III的平均LN为1.1,NCIS为0.77,THOR装置的平均LN为1.5,NCIS为0.30。在此风险水平下,两种假人的质量指标分别处于中等范围和良好范围。
基于下颈部的LN损伤评估风险曲线和参考值,即IARC和IARV,作为损伤评估的首个数据集,并且THOR可能是评估后碰撞环境中损伤的更好测试装置。