Wang Fang, Wu Junzhi, Hu Lin, Yu Chao, Wang Bingyu, Huang Xiaoqun, Miller Karol, Wittek Adam
School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410015, Hunan, China.
School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, Fujian, China.
J Safety Res. 2022 Feb;80:109-134. doi: 10.1016/j.jsr.2021.11.005. Epub 2021 Dec 1.
Cycling is a popular choice for urban transportation. Helmets are important and the most popular means of head protection for cyclists. However, a debate about the effectiveness of helmets in protecting a cyclist's head from injury continues.
We employed computational biomechanics methods to analyze the head protection effectiveness of nine off-the-shelf-helmets for two typical impact scenarios that occur in cycling accidents: cyclist's head impacting a kerb (kerb-impact) and cyclist skidding (skidding impact) on the road surface. We conducted drop tests for all nine analyzed helmets, and used the test data for validation of the corresponding helmet finite element (FE) models created in this study. The validated helmet models were then used in the full-scale computer simulations (FE analysis for the skull, brain and helmet, and multibody dynamics for the remaining segments of the cyclist's body) of the cycling accidents for cyclists wearing a helmet and without a helmet.
The results indicate that helmets can reduce both the peak linear acceleration of the cyclist head center of gravity (COG) and the risk of cyclist skull fracture. However, higher rotational acceleration of the head COG was predicted for cyclists wearing helmets. The results obtained using the injury criteria that rely on the brain deformations (maximum shear strain MPS and cumulative strain damage measure CSDM) suggest that helmets may offer protection in all the analyzed cyclist impact scenarios. However, the predicted level of protection varies for different helmets and impact scenarios with appreciable variations in the predictions obtained using different injury criteria. Reduction in the maximum principal strain (MPS) for helmeted cyclists was predicted for both impact scenarios. In contrast, wearing the helmet reduced the CSDM only for the skidding impact scenario. For the kerb-impact scenario, no clear influence of the helmet on the predicted CSDM was observed.
骑自行车是城市交通中一种受欢迎的出行方式。头盔很重要,是骑自行车者最常用的头部保护手段。然而,关于头盔在保护骑自行车者头部免受伤害方面的有效性的争论仍在继续。
我们采用计算生物力学方法,针对自行车事故中发生的两种典型撞击场景,分析了九种现成头盔的头部保护效果:骑自行车者头部撞击路缘石(路缘石撞击)和骑自行车者在路面上滑行(滑行撞击)。我们对所有九种分析的头盔进行了跌落测试,并使用测试数据验证了本研究中创建的相应头盔有限元(FE)模型。然后,将经过验证的头盔模型用于对戴头盔和不戴头盔的骑自行车者的自行车事故进行全尺寸计算机模拟(对头骨、大脑和头盔进行有限元分析,对骑自行车者身体的其余部分进行多体动力学分析)。
结果表明,头盔可以降低骑自行车者头部重心(COG)的峰值线性加速度以及骑自行车者颅骨骨折的风险。然而,预测戴头盔的骑自行车者头部COG的旋转加速度更高。使用依赖于大脑变形的损伤标准(最大剪应变MPS和累积应变损伤测量CSDM)获得的结果表明,头盔可能在所有分析的骑自行车者撞击场景中提供保护。然而,预测的保护水平因不同的头盔和撞击场景而异,使用不同损伤标准获得的预测结果存在明显差异。对于两种撞击场景,均预测戴头盔的骑自行车者的最大主应变(MPS)会降低。相比之下,戴头盔仅在滑行撞击场景中降低了CSDM。对于路缘石撞击场景,未观察到头盔对预测的CSDM有明显影响。