Yu Xiancheng, Halldin Peter, Ghajari Mazdak
HEAD Lab, Dyson School of Design Engineering, Imperial College London, South Kensington, United Kingdom.
Division of Neuronic Engineering, Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Huddinge, Sweden.
Front Bioeng Biotechnol. 2022 Sep 8;10:860435. doi: 10.3389/fbioe.2022.860435. eCollection 2022.
New oblique impact methods for evaluating head injury mitigation effects of helmets are emerging, which mandate measuring both translational and rotational kinematics of the headform. These methods need headforms with biofidelic mass, moments of inertia (MoIs), and coefficient of friction (CoF). To fulfill this need, working group 11 of the European standardization head protection committee (CEN/TC158) has been working on the development of a new headform with realistic MoIs and CoF, based on recent biomechanics research on the human head. In this study, we used a version of this headform (Cellbond) to test a motorcycle helmet under the oblique impact at 8 m/s at five different locations. We also used the Hybrid III headform, which is commonly used in the helmet oblique impact. We tested whether there is a difference between the predictions of the headforms in terms of injury metrics based on head kinematics, including peak translational and rotational acceleration, peak rotational velocity, and BrIC (brain injury criterion). We also used the Imperial College finite element model of the human head to predict the strain and strain rate across the brain and tested whether there is a difference between the headforms in terms of the predicted strain and strain rate. We found that the Cellbond headform produced similar or higher peak translational accelerations depending on the impact location (-3.2% in the front-side impact to 24.3% in the rear impact). The Cellbond headform, however, produced significantly lower peak rotational acceleration (-41.8% in a rear impact to -62.7% in a side impact), peak rotational velocity (-29.5% in a side impact to -47.6% in a rear impact), and BrIC (-29% in a rear-side impact to -45.3% in a rear impact). The 90th percentile values of the maximum brain strain and strain rate were also significantly lower using this headform. Our results suggest that MoIs and CoF have significant effects on headform rotational kinematics, and consequently brain deformation, during the helmeted oblique impact. Future helmet standards and rating methods should use headforms with realistic MoIs and CoF (e.g., the Cellbond headform) to ensure more accurate representation of the head in laboratory impact tests.
用于评估头盔头部损伤减轻效果的新型斜向冲击方法正在兴起,这就要求对头型的平动和转动运动学进行测量。这些方法需要具有生物逼真质量、转动惯量(MoI)和摩擦系数(CoF)的头型。为满足这一需求,欧洲标准化头部保护委员会(CEN/TC158)的第11工作组一直在根据近期关于人类头部的生物力学研究,致力于开发一种具有逼真转动惯量和摩擦系数的新型头型。在本研究中,我们使用了这种头型的一个版本(Cellbond),在五个不同位置以8米/秒的速度进行斜向冲击,测试一款摩托车头盔。我们还使用了头盔斜向冲击中常用的Hybrid III头型。我们测试了基于头部运动学的损伤指标(包括峰值平动和转动加速度、峰值转动速度以及BrIC(脑损伤标准))方面,两种头型的预测结果是否存在差异。我们还使用了帝国理工学院的人类头部有限元模型来预测整个大脑的应变和应变率,并测试了在预测的应变和应变率方面,两种头型是否存在差异。我们发现,根据撞击位置的不同,Cellbond头型产生的峰值平动加速度相似或更高(前侧撞击时低3.2%,后侧撞击时高24.3%)。然而,Cellbond头型产生的峰值转动加速度显著更低(后侧撞击时低41.8%,侧面撞击时低62.7%)、峰值转动速度显著更低(侧面撞击时低29.5%,后侧撞击时低47.6%)以及BrIC显著更低(后侧撞击时低29%,后侧撞击时低45.3%)。使用这种头型时,大脑最大应变和应变率的第第90百分位数值也显著更低。我们的结果表明,在佩戴头盔的斜向冲击过程中,转动惯量和摩擦系数对头型的转动运动学以及由此产生的大脑变形有显著影响。未来的头盔标准和评级方法应使用具有逼真转动惯量和摩擦系数的头型(例如Cellbond头型),以确保在实验室冲击测试中更准确地模拟头部情况。