Injury mechanism of occupants in bus during rear-end crash based on MADYMO

被引：0
|
作者：
Zhang W.-H. [1 ]
Yi J. [1 ]
Liu W. [1 ]
Yu Q.-Y. [1 ]
Wang L.-Z. [1 ]
机构：
[1] School of Traffic and Transportation, Northeast Forestry University, Harbin
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2022年 / 52卷 / 01期
关键词：
Bus; Occupant injury; Rear end collision accident; Simulation analysis; Traffic engineering;
D O I：
10.13229/j.cnki.jdxbgxb20200728
中图分类号：
学科分类号：
摘要：
In order to enable the occupants to carry out targeted protection according to different locations when the bus rear end collision accident occurs, the bus model, 12 dummy models and seat belt models were constructed by using the finite element analysis and rigid multi-body dynamics software. The dummy models were assigned to different seats of the bus. The gravity acceleration, impact waveform and relative impact velocity were loaded into the simulation model. The injury indexes of the dummy head, chest and leg under different relative impact velocities were finally obtained. The results show that the larger the relative impact speed is, the greater the injury index values of head, chest and leg are. When the relative collision speed is greater than 60 km/h, some occupants' head and chest in the bus will suffer serious injury of grade 4 or above. The weighted injury criteria values (WICs) of the occupants on the front and rear seats are larger than that of the occupants on the middle seat. The WIC of the occupants near the windshield side is larger than that of the occupants near the aisle side of the same row of seats. © 2022, Jilin University Press. All right reserved.
引用
收藏
页码：118 / 126
页数：8
相关论文
共 16 条
  • [1] Yang Ya-dong, Study on the cause mechanism of road traffic accidents based on catastrophe theory, Traffic Engineering, 18, 3, pp. 40-45, (2018)
  • [2] Chen C, Liu X M, Chen H H., A rear-end collision risk evaluation and control scheme using a bayesian network model, Transactions on Intelligent Transportation Systems, 20, 1, pp. 264-284, (2019)
  • [3] Jiang Liang, He Yi, Analysis of risky driving behavior and accident influencing factors of electric two-wheeled vehicles, Journal of Jilin University( Engineering and Technology Edition), 49, 4, pp. 1107-1113, (2019)
  • [4] Zhang Wen-hui, Yu Qiu-ying, Shen Hang-xian, SEM-based identification of driving risk factors in highway accident sections, Forest Engineering, 37, 2, pp. 95-103, (2021)
  • [5] Lan Feng-chong, Wang Jun-feng, Zeng Zi-cong, Et al., Reconstruction of human vehicle collision and biomechanical analysis of head injury, Journal of Chongqing University of Technology: Natural Science, 33, 8, pp. 8-15, (2019)
  • [6] Ge Ru-hai, Zhang Su-xiu, Hong Liang, Optimization of front-row occupant restraint system with NSGA-Ⅱ genetic algorithm, Automotive Engineering, 39, 12, pp. 1382-1389, (2017)
  • [7] Chen Ji-qing, Du Tian-ya, Lan Feng-chong, Et al., Research progress on mechanism and biomechanical response of occupant abdominal injury in vehicle collision, Acta Automotive Engineering, 5, 2, pp. 79-89, (2015)
  • [8] Jost R, Nurick G N., Finite element modelling of the human body in vehicle side impact, International Journal of Crashworthiness, 4, 1, pp. 31-37, (1999)
  • [9] Xu J J, Wali B H, Li X B, Et al., Injury severity and contributing driver actions in passenger vehicle-truck collisions, International Journal of Environmental Research and Public Health, 16, 19, (2019)
  • [10] Zou Tie-fang, Yu Zhi, Cai Ming, Et al., Car-pedestrian accident reconstruction based on Pc-Crash, Journal of Vibration and Shock, 30, 3, pp. 215-219, (2011)
12