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Rider Stature Influence to Injury Risk in Motorcycle Rear Impact to Car

Citace:
LYU, W., HYNČÍK, L., BOŃKOWSKI, T. Rider Stature Influence to Injury Risk in Motorcycle Rear Impact to Car. SAE Technical Papers, 2019, roč. 1, č. březen 2019, s. 1-7. ISSN: 0148-7191
Druh: ČLÁNEK
Jazyk publikace: eng
Anglický název: Rider Stature Influence to Injury Risk in Motorcycle Rear Impact to Car
Rok vydání: 2019
Autoři: Wenle Lyu doktor inženýrství , doc. Ing. Luděk Hynčík Ph.D. , Ing. Tomasz Bońkowski
Abstrakt EN: Road traffic accidents cause one of the highest numbers of severe injuries. Approximately 1.25 million people die each year as a result of a road traffic crash and between 20 and 50 million more people suffer non-fatal injuries, with many incurring a disability. Nearly half of those dying on the roads are so-called vulnerable road users, namely pedestrians, cyclists and two-wheeler riders including motorcyclists. Those vulnerable road users usually undergo complex kinematics and complex loading caused by the other vehicle impact. Virtual human body biomechanical models play an important role to assess the injuries during impact loading especially for scenarios, where complex dynamical loading is taken into account. The additional benefit of the virtual human models is their scalability so that they can assess the injury risk for the particular subject taking into account the wide spectra of the whole population. The presented work shows the motorcycle rider injury risk analysis during the rear motorcycle accident to a car using the virtual approach by the numerical simulation taking into account the variability of the human body. Several virtual human body models based on the population variability are concerned. Each virtual human body model is generated automatically by the scaling algorithm, coupled to personal protective equipment and sit in the motorcycle. The rear impact to a car is assessed by the numerical simulation. The sensitivity study is processed by evaluating the anthropometry dependent injury risk assessment by the variation of the velocity and the use/non-use of the personal protective equipment. The paper contributes to the field of vehicle safety technology by the virtual approach using scalable virtual biomechanical human body models as a tool for accident reconstruction, personal protective equipment optimization and the injury risk mitigation.
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