Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (1): 118-126.doi: 10.13229/j.cnki.jdxbgxb20200728

Previous Articles    

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

Wen-hui ZHANG(),Jing YI,Wei LIU,Qiu-ying YU,Lian-zhen WANG()   

  1. School of Traffic and Transportation,Northeast Forestry University,Harbin 150040,China
  • Received:2020-09-22 Online:2022-01-01 Published:2022-01-14
  • Contact: Lian-zhen WANG E-mail:rayear@163.com;rock510@163.com

Abstract:

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.

Key words: traffic engineering, bus, rear end collision accident, occupant injury, simulation analysis

CLC Number: 

  • U491.31

Table 1

AIS classification level"

AIS等级损伤程度AIS等级损伤程度
0轻微伤5垂危
1轻伤6死亡,因1个致命伤害在24 h内死亡
2中伤7死亡,因2个致命伤而死亡
3重伤,但无生命危险8死亡,因3个及以上的致命伤而死亡
4重伤,有生命危险9死亡,情况不明

Table 2

Corresponding relationship between head injury and AIS"

HICAIS损伤描述损伤程度
130~5201头部眩晕无伤害
521~9002短时间意识丧失,线性骨折轻伤
901~12553意识丧失;出现凹陷性骨折中伤
1256~15754意识丧失;出现开放性骨折重伤,但无生命危险
1576~18605意识丧失;出现脑血肿重伤,有生命危险
≥18616垂危死亡或死亡垂 危

Table 3

Corresponding relationship between chest injury and AIS"

AIS等级

胸部C3ms

加速度/g

胸部损伤描述损伤程度
117~371根肋骨骨折轻度损伤
238~54

有2~3根肋骨折;

胸骨骨折

中度损伤
355~68

3根以上肋骨骨折,

伴有血气胸凹陷性骨折

较重伤,无生命危险
469~79连枷胸,3根及以上肋骨骨折,伴有血气胸;胸壁组织撕裂严重伤,有生命危险
580~90

双边连枷胸、

大动脉破裂

危重伤,有生还可能
6≥90死亡最严重的伤

Table 4

Main technical parameters of bus"

技术参数数 值技术参数数 值

长度/mm

宽度/mm

高度/mm

前轮距/mm

最高车速/(km·h—1

后轮距1/mm

14 200

2 409

3 600

2 098

100

1 860

后轮距2/mm

轴距/mm

前轮胎规格

后轮胎规格

整备质量/kg

1860

6050

295/80 R22.5

295/80 R22.5

13 240

Fig.1

Bus model"

Fig.2

HybridⅢ 50th percentile male dummy model"

Table 5

Mass of main body parts of dummy"

身体部位质量/kg身体部位质量/kg
头部3.800右下臂1.246
颈部1.220腹部0.400
右锁骨0.250骨盆7.620
左锁骨0.250骶骨1.595
肩胛骨0.200左大腿8.801
胸骨上部0.750右大腿8.801
胸部1.200左小腿3.039
左上臂1.652右小腿3.039
右上臂1.652左脚1.618
左下臂1.246右脚1.618

Fig.3

Material characteristics of finite element seat belt"

Fig.4

Hybrid seat belt model"

Fig.5

Vehicle seats number"

Fig.6

Position model of dummy"

Fig.7

Acceleration curve of bus at different relative collision velocities"

Table 6

HIC36ms of dummy head at different relative impact velocities"

Nv/(km·h-1
20304050607080
1379432151873110321523
32214227762382510241242
72627041382193112481678
10181992255614759231342
17221131954287848531121
1825831316295499481452
3112107200465429513973
3215152243379505623897
37222134045957869771572
38171163152425987621498
473331158932172314231724
482826140252182212371559

Fig.8

HIC36ms of dummy head on different seats"

Fig.9

Synthetic acceleration of dummy head on some seats at 60 km/h"

Fig.10

HIC36ms of dummy on some seats at different relative impact velocities"

Table 7

C3ms of dummy chest at different relative impact velocities"

Nv/(km·h-1
20304050607080
112.419.031.753.065.085.0126.3
320.717.741.052.769.598.8114.4
714.019.930.961.557.774.679.5
1012.420.439.348.359.474.484.3
1714.517.432.956.563.587.998.7
1813.920.542.161.675.584.1106.4
3124.619.240.346.851.862.369.1
3219.728.631.746.552.274.385.1
3718.019.220.541.952.765.177.8
3813.325.843.075.163.4116.3136.9
4730.532.065.579.295.1111.6127.9
4824.228.848.353.471.883.990.7

Fig.11

Chest injury of dummy on different seats at 60 km/h"

Fig.12

Synthetic acceleration of dummy chest on some seats at 60 km/h"

Fig.13

C3ms of dummy on some seats at different relative impact velocities"

Table 8

FFC of dummy left leg at different relative impact velocities"

Nv/(km·h-1
20304050607080
11.122.143.154.175.186.207.21
30.872.263.665.056.447.849.23
71.212.223.224.235.246.247.33
102.353.664.986.297.608.9210.23
171.513.174.826.488.139.7911.44
180.722.143.564.986.407.829.24
310.911.812.713.624.525.426.32
321.432.383.334.285.236.187.13
371.221.722.222.723.223.724.22
381.522.293.063.834.595.366.13
471.231.92.563.233.894.565.22
480.972.183.394.615.827.038.24

Table 9

FFC of dummy right leg at different relative impact velocities"

Nv/(km·h-1
20304050607080
11.052.012.963.924.875.826.78
30.972.534.105.667.228.7810.34
71.262.313.354.405.456.497.62
102.143.334.535.726.928.119.31
171.453.044.636.227.809.3910.98
180.862.574.275.987.689.3811.09
311.001.992.983.984.975.966.95
321.332.213.103.984.865.756.63
371.341.892.442.993.544.094.64
381.472.222.963.714.465.205.95
471.281.972.663.354.054.745.43
481.112.493.875.256.638.019.39

Fig.14

FFC of dummy leg on different seats at 60 km/h"

Table 10

WIC of dummy at different relative impact velocities"

Nv/(km·h-1
20304050607080
10.220.360.570.840.991.301.75
30.280.340.620.810.891.361.59
70.240.390.590.970.961.251.45
100.210.370.610.780.901.181.35
170.230.290.550.910.811.351.54
180.230.360.600.840.661.231.50
310.300.300.560.660.770.981.11
320.260.370.590.680.911.131.30
370.260.340.480.700.720.961.25
380.220.420.691.071.031.621.91
470.380.510.811.081.251.481.90
480.310.400.730.791.121.361.51

Fig.15

WIC of dummy on different seats at 60 km/h"

1 杨亚东. 基于突变理论的道路交通事故致因机理研究[J]. 交通工程, 2018, 18(3): 40-45.
Yang Ya-dong. Study on the cause mechanism of road traffic accidents based on catastrophe theory[J]. Traffic Engineering, 2018, 18(3): 40-45.
2 Chen C, Liu X M, Chen H H. A rear-end collision risk evaluation and control scheme using a bayesian network model[J]. Transactions on Intelligent Transportation Systems, 2019, 20(1): 264-284.
3 江亮,贺宜.电动两轮车风险驾驶行为及事故影响因素分析[J]. 吉林大学学报: 工学版, 2019, 49(4): 1107-1113.
Jiang Liang, He Yi. Analysis of risky driving behavior and accident influencing factors of electric two-wheeled vehicles[J]. Journal of Jilin University( Engineering and Technology Edition), 2019, 49(4): 1107-1113.
4 张文会, 于秋影, 沈航先. 基于SEM的高速公路事故路段行车风险因素辨识[J]. 森林工程, 2021, 37(2): 95-103.
Zhang Wen-hui, Yu Qiu-ying, Shen Hang-xian. SEM-based identification of driving risk factors in highway accident sections[J]. Forest Engineering,2021, 37(2): 95-103.
5 兰凤崇,王俊峰,曾子聪,等. 人-车碰撞事故再现及头部损伤生物力学分析[J]. 重庆理工大学学报: 自然科学, 2019, 33(8): 8-15.
Lan Feng-chong, Wang Jun-feng, Zeng Zi-cong, et al. Reconstruction of human vehicle collision and biomechanical analysis of head injury[J]. Journal of Chongqing University of Technology: Natural Science, 2019,33(8): 8-15.
6 Ge Ru-hai, Zhang Su-xiu, Hong Liang. Optimization of front-row occupant restraint system with NSGA-Ⅱ genetic algorithm[J]. Automotive Engineering, 2017, 39(12):1382-1389.
7 陈吉清,杜天亚,兰凤崇,等. 汽车碰撞中乘员腹部损伤机理及生物力学响应研究进展[J]. 汽车工程学报, 2015, 5(2): 79-89.
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[J]. Acta Automotive Engineering, 2015, 5(2): 79-89.
8 Jost R, Nurick G N. Finite element modelling of the human body in vehicle side impact[J]. International Journal of Crashworthiness, 1999, 4(1):31-37.
9 Xu J J, Wali B H, Li X B, et al. Injury severity and contributing driver actions in passenger vehicle-truck collisions[J]. International Journal of Environmental Research and Public Health, 2019, 16(19): 3542.
10 Zou Tie-fang, Yu Zhi, Cai Ming, et al. Car-pedestrian accident reconstruction based on Pc-Crash[J]. Journal of Vibration and Shock, 2011, 30(3): 215-219.
11 周华,彭一峻,刘卓异,等. 约束系统对不同体型女性驾驶人的保护研究[J]. 中国安全科学学报, 2019, 29(4): 76-82.
Zhou Hua, Peng Yi-jun, Liu Zhuo-yi, et al. Study on the protection of restraint system for female drivers with different body sizes[J]. Chinese Journal of safety Sciences, 2019, 29(4): 76-82.
12 周鸣昊,李傲,谷先广. 考虑多种工况的乘员约束系统可靠性优化设计[J]. 合肥工业大学学报: 自然科学版, 2019, 42(7): 888-894.
Zhou Ming-hao, Li Ao, Gu Xian-guang. Reliability optimization design of occupant restraint system considering various working conditions[J]. Journal of Hefei University of Technology(Natural Science Edition), 2019, 42(7): 888-894.
13 张鹏,张道文,肖凌云,等. 男性行人与SUV正碰后的运动形态及损伤研究[J]. 中国安全科学学报, 2019, 29(1): 25-30.
Zhang Peng, Zhang Dao-wen, Xiao Ling-yun, et al. Study on the movement pattern and injury of male pedestrian after frontal collision with SUV[J]. Chinese Journal of Safety Sciences, 2019, 29(1): 25-30.
14 王波, 何洋扬, 聂冰冰,等. 底部爆炸条件下车内乘员的腹部损伤[J]. 吉林大学学报:工学版, 2021, 51(3): 792-798.
Wang Bo, He Yang-yang, Nie Bing-bing, et al. Abdominal injury of occupants in a car under the condition of bottom explosion[J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(3): 792-798.
15 洪汉池,黄红武. 客车侧翻碰撞中安全带对乘员损伤的影响分析[J]. 重庆大学学报, 2016, 39(3): 140-146.
Hong Han-chi, Huang Hong-wu. Analysis of the impact of seat belt on occupant injury in rollover crash[J]. Journal of Chongqing University, 2016, 39(3): 140-146.
16 曹立波,欧阳志高,徐哲,等. 可逆约束系统参数匹配优化研究[J]. 机械工程学报, 2016, 52(10): 133-141.
Cao Li-bo, Ouyang Zhi-gao, Xu Zhe, et al. Study on parameter matching optimization of reversible constrained systems[J]. Journal of Mechanical Engineering, 2016, 52(10): 133-141.
[1] Da-yi QU,Kai-xian HEI,Hai-bing GUO,Yan-feng JIA,Tao WANG. Game behavior and model of lane-changing on the internet of vehicles environment [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 101-109.
[2] Xian-yan KUANG,Hui-chao LUO,Rui ZHONG,Peng OUYANG. Bus arrival time prediction based on wavelet neural network optimized by Beetle Antennae Search [J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 110-117.
[3] Ming LI,Qing-feng XUE,Ke-xin ZHANG,Ran LYU,Chang-hua WEI. Performance analysis of electric vehicle heat pump air conditioning system [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 1943-1952.
[4] Shi-jun YANG,Yu-long PEI,Heng-yan PAN,Guo-zhu CHENG,Wen-hui ZHANG. Characteristics analysising and prediction of dwelling time of urban bus [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2031-2039.
[5] Xiao-hua ZENG,Mei-jie SONG,Da-feng SONG,Yue WANG. Data processing method of bus driving cycle based on vehicular network information [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(5): 1692-1699.
[6] Zhi-wei LIU,Jian-rong LIU,Wei DENG. Travelers′ choice behavior of autonomous vehicles based on latent class [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(4): 1261-1268.
[7] Jin XU,Cun-shu PAN,Jing-hou FU,Jun LIU,Dan-qi WANG. Speed behavior characteristic on typical driving scenarios and along switched scenarios [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(4): 1331-1341.
[8] Guo-zhu CHENG,Rui CHENG,Liang XU,Wen-hui ZHANG. Risk assessment of roadside accidents based on occupant injuries analysis [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(3): 875-885.
[9] Wei-xiong ZHA,Qi-yan CAI,Jian LI,Li-xin YAN. Optimization of offset of urban arterial signal coordination under condition of vehicle entry and exit on side road [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(2): 565-574.
[10] Xiao-dong ZHU,Qi-xian ZHANG,Yuan-ning LIU, WU-di,Zu-kang WU,Chao-qun WANG,Xin-long LI. Iris recognition based on multi⁃direction local binary pattern and stable feature [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(2): 650-658.
[11] Tian-qi GU,Chen-jie HU,Yi TU,Shu-wen LIN. Robust reconstruction method based on moving least squares algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(2): 685-691.
[12] Xue-shen CHEN,Zhu-jian HUANG,Xu MA,Long QI,Gui-jin FANG. Design and test of control system for rice mechanical weeding and seedling-avoiding control [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(1): 386-396.
[13] Xian-min SONG,Ming-ye ZHANG,Zhen-jian LI,Xin WANG,Ya-nan ZHANG. Setting of dynamic bus lane and its simulation analysis and evaluation [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1677-1686.
[14] Zhe WANG,Yi XIE,Peng-fei ZANG,Yao WANG. Energy management strategy of fuel cell bus based on Pontryagin′s minimum principle [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 36-43.
[15] Chang-cheng LIU,Zhong-chang LIU,Jing TIAN,Yun XU,Ze-yu YANG. In⁃cylinder exergy destruction during combustion process ofheavy⁃duty turbocharged diesel engine [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(6): 1911-1919.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!