吉林大学学报(工学版) ›› 2026, Vol. 56 ›› Issue (3): 779-792.doi: 10.13229/j.cnki.jdxbgxb.20250363

• 计算机科学与技术 • 上一篇    

面向智能安全的中国50th百分位男性体征行人数字模型开发及应用

赵洪乾1,2(),李海岩1,2(),张城铭1,2,崔世海1,2,贺丽娟1,2,吕文乐1,2   

  1. 1.天津科技大学 机械工程学院,天津 300457
    2.现代汽车安全技术国际联合研究中心,天津 300457
  • 收稿日期:2025-04-24 出版日期:2026-03-01 发布日期:2026-03-31
  • 通讯作者: 李海岩 E-mail:zhaohongqian2022@mail.tust.edu.cn;lihaiyan@tust.edu.cn
  • 作者简介:赵洪乾(1994-),男,博士研究生.研究方向:车辆安全与行人保护.E-mail:zhaohongqian2022@mail.tust.edu.cn
  • 基金资助:
    国家重点研发计划项目(2018YFC0807203);国家自然科学基金项目(81471274);国家自然科学基金项目(81371360)

Development and application of pedestrian human body model representing anthropometric characteristics of 50th percentile Chinese male for intelligent safety

Hong-qian ZHAO1,2(),Hai-yan LI1,2(),Cheng-ming ZHANG1,2,Shi-hai CUI1,2,Li-juan HE1,2,Wen-le LYU1,2   

  1. 1.College of Mechanical Engineering,Tianjin University of Science and Technology,Tianjin 300457,China
    2.International Research Association on Emerging Automotive Safety Technology,Tianjin 300457,China
  • Received:2025-04-24 Online:2026-03-01 Published:2026-03-31
  • Contact: Hai-yan LI E-mail:zhaohongqian2022@mail.tust.edu.cn;lihaiyan@tust.edu.cn

摘要:

基于中国50th百分位男性体征志愿者CT医学影像数据,本文构建了图斯特50th百分位男性行人损伤仿生模型,并通过重构尸体钝性冲击试验验证其有效性。参考欧洲新车评价规程行人模型认证要求,本文进一步开发了行走姿态模型,并对不同碰撞角度下的行人-车辆碰撞进行仿真分析。结果表明:在行人与车辆侧向碰撞中,头部接触时间比正面和背面碰撞延迟约10 ms,整体损伤程度较轻;背面碰撞导致的头部损伤风险最高,正面碰撞更易引发下肢严重损伤。可见,碰撞角度对行人损伤具有显著影响。因此,在行人保护系统的优化设计及评价中应予以充分考虑。本文开发的图斯特损伤仿生模型可为行人-车辆碰撞损伤机理研究、车辆智能安全系统优化及虚拟测评体系构建提供关键技术支撑。

关键词: 车辆工程, 图斯特损伤仿生模型, 50th百分位中国男性, 行人保护, 碰撞角度

Abstract:

The TUST 50th percentile Chinese male pedestrian injury bionic model was constructed based on CT medical imaging data of a volunteer with Chinese 50th percentile male anthropometric characteristics, and its effectiveness was verified by the reconstruction of cadaveric blunt impact tests. In accordance with the pedestrian model certification requirements outlined in the Euro NCAP protocols, a walking?posture model is further constructed, and simulation analyses of pedestrian?vehicle collisions at various collision angles were performed. Results indicate that in lateral collisions between pedestrians and vehicles, the head impact time was delayed by approximately 10 ms compared to frontal and rear impacts, and the overall injury severity was relatively mild. The highest risk of head trauma was exhibited in rear impacts, whereas severe injuries to the lower extremities were more likely to be caused by frontal impacts. These findings demonstrate that significant influence of collision angle on pedestrian injury was exerted. Therefore, collision angle should be carefully considered in the optimal design and assessment of pedestrian protection systems. The TUST injury bionic model developed in this study provides crucial technical support for research on pedestrian?vehicle collision injury mechanisms, optimization of intelligent safety systems for vehicles, and the construction of virtual evaluation frameworks.

Key words: vehicle engineering, TUST injury bionic model, 50th percentile Chinese male, pedestrian protection, collision angle

中图分类号: 

  • U467.14

图1

图斯特50th百分位男性行人损伤仿生模型"

表1

TUST IBMs M50-P局部模型验证矩阵"

验证

部位

试验名称参考文献

模型

验证

头部撞锤撞击前额Nahum等 20曹祎帆16
刚性球撞击顶叶Yoganandan等21
泡沫冲击面部Trosseille等22
头部旋转Hardy等23
颈部志愿者侧面碰撞Ewing等24王福洋17
志愿者后碰撞Davidsson等25
志愿者前碰撞Arbogast等26
尸体头颈跌落Nightingale等27
胸腹部胸部正面撞锤冲击Kroell等 28慕鹏飞18
胸部侧面撞锤冲击Shaw等29
腹部正面棒击Cavanaugh等30
下肢长骨准静态三点弯曲Yamada31张城铭19
大小腿动态三点弯曲Kerrigan等32
下肢整体剪切弯曲Kajzer等33

表2

TUST IBMs M50-P体征参数"

测量项目TUST IBMs M50-PGB/T 10000—2023差值比例/%
身高/mm1 7201 7060.8
体质量/kg67.2692.6
肩高/mm1 4361 3843.8
会阴高/mm7387350.4
大腿长/mm4774721.1
小腿长/mm3613784.5

表3

TUST IBMs M50-P站姿模型验证矩阵"

试验项目冲击器加载条件参考文献

冲击速度

/(m·s-1

冲击位置
肩部冲击4.5/6.8肩峰中心Marth35,Koh等36
胸部冲击4.4/6.5/9.5剑突Viano等37
腹部冲击4.8/6.8/9.4剑突下方7.5 cmViano等37
骨盆冲击5.2/9.8大转子中心Viano等37

图2

钝性冲击仿真试验"

图3

Euro NCAP TB024对标试验"

图4

不同角度人-车碰撞仿真试验"

图5

肋骨最大塑性应变云图"

表4

TUST IBMs M50-P走姿模型姿态定义参数"

参数名称/单位TB024参考值TUST IBMs M50-P走姿模型测量值符合容差示意图
Px :鞋跟x方向距离/mm310(±5%)310
Py :鞋跟y方向距离/mm185(±15%)159
K:右大腿角/(°)89(±3)90
L:左大腿角/(°)106(±5)104
G:右膝关节角/(°)164(±3)167
H:左膝关节角/(°)175(±5)179
Ty :右上臂y方向角/(°)98(±3)101
Uy :左上臂y方向角/(°)70(±3)71
Tx :右上臂x方向角/(°)100(±10)102
Ux :左上臂x方向角/(°)100(±10)104
V:右肘关节角/(°)140(±5)140
W:左肘关节角/(°)160(±10)158
AC z :AC高度/mm949(±1.2%)892
HC x :HC与AC的x方向距离/mm44(±15)42
HC z :HC高度/mm1 686(±0.8%)1 657
M:体质量/kg76.7(+10%/-5%)67.2

图6

仿真试验HIT值"

图7

不同碰撞角度下行人运动学响应"

表5

不同碰撞角度下头部响应参数"

碰撞角度HIC15WAD/mmHIT/ms
右侧碰撞1 5301 771111
正面碰撞2 4821 769104
左侧碰撞9911 796112
背面碰撞6 1261 799103

表6

头部生物力学参数"

损伤指标碰撞角度损伤阈值
右侧碰撞正面碰撞左侧碰撞背面碰撞

Von mises

应力

(最大值)/kPa

15 kPa,脑震荡40

剪切应力

(最大值)/kPa

10 kPa,80%概率轻度

脑创伤41

表7

下肢长骨密质骨应变云图"

碰撞角度
右侧碰撞正面碰撞左侧碰撞背面碰撞
股骨应变云图(左侧股骨骨折时间/右侧股骨骨折时间)/ms

胫骨、腓骨应变云图

(骨折时间)/ms

图8

膝关节韧带断裂时间"

图9

图斯特行人系列损伤仿生模型"

[1] World Health Organization. Global Status Report on Road Safety 2023[M]. Geneva: World Health Organization Press, 2023.
[2] 李海岩, 杨振, 贺丽娟, 等. 全球NCAP行人保护测评的对比研究及展望[J]. 汽车工程, 2021, 43(5):730-738.
Li Hai-yan, Yang Zhen, He Li-juan, et al. Comparative study and prospect of pedestrian protection sssessment in global NCAP[J]. Automotive Engineering, 2021, 43(5): 730-738.
[3] Lv X J, Xiao Z, Fang J G, et al. On safety design of vehicle for protection of vulnerable road users: A review[J]. Thin-Walled Structures, 2023, 182: No.109990.
[4] 胡林, 谷子逸, 王丹琦, 等. 汽车安全性测评规程现状及趋势展望[J]. 汽车工程, 2024, 46(2):187-200, 240.
Hu Lin, Gu Zi-yi, Wang Dan-qi, et al. Current status and trend of automotive safety procedures/programs[J]. Automotive Engineering, 2024, 46(2): 187-200, 240.
[5] 韩勇, 杨济匡, 李凡, 等. 汽车-行人碰撞中人体下肢骨折的有限元分析[J]. 吉林大学学报: 工学版,2011, 41(1): 6-11.
Han Yong, Yang Ji-kuang, Li Fan, et al. Finite element analysis of lower extremity fractures in vehicle-pedestrian collision[J]. Journal of Jilin University (Engineering and Technology Edition), 2011, 41(1): 6-11.
[6] Chen J Q, Cheng R J, Lan F C, et al. Analysis of lower limb injury mechanism of an average Chinese pedestrian lower limb FE model in lateral impact[J]. International Journal of Vehicle Safety, 2020, 11(4): 330-344.
[7] 龙永程, 郝海舟, 李凡, 等. 行人安全测试现行腿型冲击器的生物逼真度[J]. 汽车安全与节能学报, 2021, 12(4):475-482.
Long Yong-cheng, Hao Hai-zhou, Li Fan, et al. Biofidelity of current legform impactor in pedestrian safety test[J]. Journal of Automotive Safety and Energy, 2021, 12(4): 475-482.
[8] 李海岩, 黄盛一, 李琨, 等. 行人-车辆碰撞中六岁儿童下肢损伤分析及预测[J]. 汽车工程, 2023,45(6):1050-1061.
Li Hai-yan, Huang Sheng-yi, Li Kun, et al. Prediction and analysis of lower extremity injuries of six-year-old child pedestrian in car-pedestrian collision[J]. Automotive Engineering, 2023, 45(6): 1050-1061.
[9] Chen Z W, Huang X, Zou D H, et al. Predicting pedestrian lower limb fractures in real world vehicle crashes using a detailed human body leg model[J]. Acta of Bioengineering and Biomechanics, 2021, 23(4): 33-41.
[10] 李雄, 兰凤崇, 陈吉清, 等. Hybird Ⅲ假人模型与CHUBM人体生物力学模型的正碰损伤对比[J].吉林大学学报: 工学版, 2022, 52(6): 1264-1272.
Li Xiong, Lan Feng-chong, Chen Ji-qing, et al. Comparison of injuries in front impact between Hybird III dummy model and CHUBM human biomechanical model[J]. Journal of Jilin University (Engineering and Technology Edition), 2022, 52(6): 1264-1272.
[11] Chen H P, Poulard D, Forman J, et al. Evaluation of geometrically personalized THUMS pedestrian model response against sedan-pedestrian PMHS impact test data[J]. Traffic Injury Prevention, 2018, 19(5): 542-548.
[12] Pak W, Meng Y Z, Schap J, et al. Development and validation of a finite element model of a small female pedestrian[J]. Computer Methods in Biomechanics and Biomedical Engineering, 2020, 23(16): 1336-1346.
[13] John J, Klug C, Kranjec M, et al. Hello, world! VIVA+: A human body model lineup to evaluate sex-differences in crash protection[J]. Frontiers in Bioengineering and Biotechnology, 2022, 10: No.918904.
[14] Lindgren N, Yuan Q, Pipkorn B, et al. Development of personalizable female and male pedestrian SAFER human body models[J]. Traffic Injury Prevention, 2024, 25(2): 182-193.
[15] . 中国成年人人体尺寸 [S].
[16] 曹祎帆.头部参数化模型开发及颅脑损伤预测[D].天津:天津科技大学机械工程学院,2024.
Cao Yi-fan. Development of head parametric model and prediction of cranial brain injury[D]. Tianjin: College of Mechanical Engineering, Tianjin University of Science and Technology, 2024.
[17] 王福洋. 颈部主被动肌肉对碰撞损伤影响的研究[D].天津:天津科技大学机械工程学院,2024.
Wang Fu-yang. A study on the effect of neck active and passive muscles on collision injuries[D]. Tianjin: College of Mechanical Engineering, Tianjin University of Science and Technology, 2024.
[18] 慕鹏飞. 中国体征第五十百分位男性乘员损伤仿生模型开发及应用研究[D]. 天津: 天津科技大学机械工程学院,2024.
Mu Peng-fei. Development and application of an injury bionic model with Chinese anthropometry of the 50th percentile male occupant[D]. Tianjin: College of Mechanical Engineering, Tianjin University of Science and Technology, 2024.
[19] 张城铭. 中国体征第五十百分位男性行人损伤仿生模型开发及应用研究[D]. 天津: 天津科技大学机械工程学院,2024.
Zhang Cheng-ming. Development and application of an injury bionic model of the 50th percentile Chinese male pedestrian[D]. Tianjin: College of Mechanical Engineering, Tianjin University of Science and Technology, 2024.
[20] Nahum A, Smith R, Ward C. Intracranial pressure dynamics during head impact[C]∥Proceedings of the 21st Stapp Car Crash Conference, New York, NY, USA, 1977: 339-366.
[21] Yoganandan N, Pintar F A, Sances Jr A, et al. Biomechanics of skull fracture[J]. Journal of Neurotrauma, 1995, 12(4): 659-668.
[22] Trosseille X, Tarriere C, Lavaste F, et al. Development of a FEM of the human head according to a specific test protocol[C]∥ Proceeding of 36th Stapp Car Crash Conference, Seattle, WA, USA, 1992: 235-253.
[23] Hardy W N, Foster C D, Mason M J, et al. Investigation of head injury mechanisms using neutral density technology and high-speed biplanar X-ray[J]. Stapp Car Crash Journal, 2001, 45: 337-368.
[24] Ewing C L, Thomas D J, Lustik L, et al. Dynamic response of the human head and neck to + Gy impact acceleration[C]∥Proceedings of 21st Stapp Car Crash Conference, New York, NY, USA, 1977: No.770928.
[25] Davidsson J, Deutscher C, Hell W, et al. Human volunteer kinematics in rear-end sled collisions[J]. Crash Prevention and Injury Control, 2001, 2(4): 319-333.
[26] Arbogast K B, Balasubramanian S, Seacrist T, et al. Comparison of kinematic responses of the head and spine for children and adults in low-speed frontal sled tests[J]. Stapp Car Crash Journal, 2009(53): 329-372.
[27] Nightingale R W, McElhaney J H, Richardson W J, et al. Dynamic responses of the head and cervical spine to axial impact loading[J]. Journal of Biomechanics, 1996, 29(3): 307-318.
[28] Kroell C K, Schneider D C, Nahum A M, et al. Impact tolerance and response of the human thorax II[J]. Stapp Car Crash Journal, 1974, 18: 383-457.
[29] Shaw J M, Herriott R G, McFadden J D, et al. Oblique and lateral impact response of the PMHS thorax[J]. Stapp Car Crash Journal, 2006, 50: 147-167.
[30] Cavanaugh J M, Nyquist G W, Goldberg S J, et al. Lower abdominal tolerance and response[C]∥Proceedings of 30th Stapp Car Crash Conference, San Diego, CA, USA, 1986: 41-63.
[31] Yamada H. Strength of Biological Materials[M]. Baltimore: The Williams & Wilkins Company, 1970.
[32] Kerrigan J R, Drinkwater D C, Kam C Y, et al. Tolerance of the human leg and thigh in dynamic lateromedial bending[J]. International Journa Crashworthiness, 2004, 9(6): 607-623.
[33] Kajzer J, Schroeder G, Ishikawa H, et al. Shearing and bending effects at the knee joint at highspeed lateral loading[C]∥Proceedings of 41st Stapp Car Crash Conference, Lake Buena Vista, FL, USA, 1997: 151-165.
[34] 李海岩, 慕鹏飞, 王彦鑫, 等. 面向汽车安全的中国体征50th百分位男性乘员生物力学模型开发及验证[J].汽车工程,2024,46(10): 1904-1919.
Li Hai-yan, Mu Peng-fei, Wang Yan-xin, et al. Development and validation of a biomechanical model with anthropometry of 50th percentile Chinese male occupant for automobile safety[J]. Automotive Engineering, 2024, 46(10): 1904-1919.
[35] Marth D R. Biomechanics of the shoulder in lateral impact [D]. Detroit: Wayne State University, 2002.
[36] Koh S W, Cavanaugh J M, Mason M J, et al. Shoulder injury and response due to lateral glenohumeral joint impact: an analysis of combined data[J]. Stapp Car Crash Journal, 2005, 49: 291-322.
[37] Viano D C, Lau I V, Asbury C, et al. Biomechanics of the human chest, abdomen, and pelvis in lateral impact[J]. Accident Analysis & Prevention, 1989, 21(6): 553-574.
[38] Euro NCAP. Technical bulletin of pedestrian human model certification[EB/OL].[2024-06-20].
[39] 李海岩, 李琨, 黄永强, 等. 轿车与6岁儿童行人不同方位碰撞中下肢损伤分析[J]. 汽车工程, 2021, 43(2):262-268.
Li Hai-yan, Li Kun, Huang Yong-qiang, et al. Analysis of lower extremity injury of six-year-old child pedestrian in different orientation collisions with car[J]. Automotive Engineering, 2021, 43(2): 262-268.
[40] Baumgartner D, Willinger R, Shewchenko N, et al. Tolerance limits for mild traumatic brain injury derived from numerical head impact replication[C]∥Proceedings of the International IRCOBI Conference on the Biomechanics of Impacts, Isle of Man, UK, 2001: 353-355.
[41] Zhang L, Yang K H, King A I. A proposed injury threshold for mild traumatic brain injury[J]. Journal of Biomechanical Engineering, 2004, 126(2): 226-236.
[42] 尹彦, 杨洁, 马春生, 等. 东西方人体测量学尺寸差异分析[J]. 标准科学, 2015(7): 10-14.
Yin Yan, Yang Jie, Ma Chun-sheng, et al. Analysis on difference in anthropomety dimensions between east and west human bodies[J]. Standard Science, 2015(7): 10-14.
[43] Li H Y, Li K, Huang Y Q, et al. Validation of a finite element model with six-year-old child anatomical characteristics as specified in Euro NCAP pedestrian human model certification (TB024)[J]. Computer Methods in Biomechanics and Biomedical Engineering, 2021, 24(1): 76-90.
[44] 李海岩, 赵洪乾, 贺丽娟, 等. 轿车与中国小身材女性行人不同角度碰撞中头部及下肢损伤分析[C]∥第十七届国际汽车交通安全学术会议(INFATS2023)论文集. 北京: 中国学术期刊光盘版电子杂志社, 2023: 25-33.
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