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논문 기본 정보

자료유형
학술대회자료
저자정보
김동현 (현대자동차) 김성래 (현대자동차) 조영근 (현대자동차) 이근배 (현대자동차)
저널정보
한국자동차공학회 한국자동차공학회 춘계학술대회 2023 한국자동차공학회 춘계학술대회
발행연도
2023.5
수록면
531 - 537 (7page)

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The purpose of this study is to predict injuries that occur when e-Scooter rider collides with the side of a vehicle using human body model(HBM) and to present the injury criteria. As social interest in eco-friendly and personal mobility increases, the use of e-Scooter is increasing, and accidents related to them are also increasing. As various accidents occur due to the use of the e-Scooter, this study tried to predict human injury using finite element analysis. Through literature review, an intersection where accidents most frequently occur between e-Scooter and cars was selected as a scenario and constructed as a computer model. A human body model developed by GHBMC was selected to predict injury. In the simulation model, the impact speed of the e-Scooter was selected 6 speeds base on the speed limit of 25km/h in Korea. As human injury factors to be obtained from the simulation model, CD and HIC15, which are used as existing occupant safety, were selected and CSDM and P_ribFrac, which can only be obtained from the human body model, were added. The simulation results show that HIC15, CSDM and P_ribFrac increased according to the e-Scooter velocity increase, but CD was no changed. According to the AIS 3+, there is no change in the death rate to HIC15, CD, but CSDM, P_ribFrac increased. Through the e-scooter rider`s case, when using the injury criteria from HBM such as CSDM, P_ribFrac, the discrimination for each injury was increased. The results of this study will be used for development and evaluation integrated safety equipment to reduce human injury in the future.

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Abstract
1. 서론
2. 본론
3. 결과
4. 결론
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