Parameter Sensitivity Analysis of Pedestrian Head Dynamic Response and Injuries Based on Coupling Simulations

Overview

Journal Sci Prog

Publisher Sage Publications

Specialty Science

Date 2019 Dec 24

PMID 31868098

Authors

Wenjun Liu

Aowen Duan

Kui Li

Jinlong Qiu

Liangfei Fu

Hongchun Jia

Zhiyong Yin

Affiliations

Soon will be listed here.

Abstract

There are a very limited number of reports studying on the dynamic response and injuries of pedestrian head in the scenarios with head hitting windshield. This study aims to investigate the significant factors that affect the dynamic response and injuries of pedestrian head through finite element-multi-body coupling simulations. Two finite element vehicle models and two multi-body pedestrian human models were used to build the coupling simulations. Orthogonal experimental design and analysis of variance were used for parameter combination and data analysis. This study demonstrated that the dynamic response of pedestrian head and HIC were strongly associated with collision speed and pedestrian orientation. Vehicle type had a significant influence on the dynamic response of pedestrian head and HIC, while there was no significant relationship between the dynamic response of pedestrian head and HIC and the size of pedestrian human models. Collision speed, pedestrian orientation, and vehicle type should be prioritized over the other collision parameters in the study of head injury mechanism and reconstruction of vehicle-pedestrian collisions in the scenarios with head hitting windshield.

References

Shang S, Zheng Y, Shen M, Yang X, Xu J . Numerical Investigation on Head and Brain Injuries Caused by Windshield Impact on Riders Using Electric Self-Balancing Scooters. Appl Bionics Biomech. 2018; 2018:5738090. PMC: 5889908. DOI: 10.1155/2018/5738090. View

Post A, Oeur A, Hoshizaki B, Gilchrist M . Examination of the relationship between peak linear and angular accelerations to brain deformation metrics in hockey helmet impacts. Comput Methods Biomech Biomed Engin. 2011; 16(5):511-9. DOI: 10.1080/10255842.2011.627559. View

Zhang W, Cao J, Xu J . How to quantitatively evaluate safety of driver behavior upon accident? A biomechanical methodology. PLoS One. 2017; 12(12):e0189455. PMC: 5730198. DOI: 10.1371/journal.pone.0189455. View

Vilenius A, Ryan G, Kloeden C, McLean A, Dolinis J . A method of estimating linear and angular accelerations in head impacts to pedestrians. Accid Anal Prev. 1994; 26(5):563-70. DOI: 10.1016/0001-4575(94)90018-3. View

Yin S, Li J, Xu J . Exploring the mechanisms of vehicle front-end shape on pedestrian head injuries caused by ground impact. Accid Anal Prev. 2017; 106:285-296. DOI: 10.1016/j.aap.2017.06.005. View

Liu W, Su S, Qiu J, Zhang Y, Yin Z . Exploration of Pedestrian Head Injuries-Collision Parameter Relationships through a Combination of Retrospective Analysis and Finite Element Method. Int J Environ Res Public Health. 2016; 13(12). PMC: 5201391. DOI: 10.3390/ijerph13121250. View

Ballesteros M, Dischinger P, Langenberg P . Pedestrian injuries and vehicle type in Maryland, 1995-1999. Accid Anal Prev. 2003; 36(1):73-81. DOI: 10.1016/s0001-4575(02)00129-x. View

Watanabe R, Katsuhara T, Miyazaki H, Kitagawa Y, Yasuki T . Research of the relationship of pedestrian injury to collision speed, car-type, impact location and pedestrian sizes using human FE model (THUMS Version 4). Stapp Car Crash J. 2013; 56:269-321. DOI: 10.4271/2012-22-0007. View

Elliott J, Simms C, Wood D . Pedestrian head translation, rotation and impact velocity: the influence of vehicle speed, pedestrian speed and pedestrian gait. Accid Anal Prev. 2012; 45:342-53. DOI: 10.1016/j.aap.2011.07.022. View

10.

Han Y, Yang J, Mizuno K, Matsui Y . Effects of vehicle impact velocity, vehicle front-end shapes on pedestrian injury risk. Traffic Inj Prev. 2012; 13(5):507-18. DOI: 10.1080/15389588.2012.661111. View

11.

Paas R, Davidsson J, Brolin K . Head kinematics and shoulder biomechanics in shoulder impacts similar to pedestrian crashes--a THUMS study. Traffic Inj Prev. 2014; 16(5):498-506. DOI: 10.1080/15389588.2014.968778. View

12.

Roudsari B, Mock C, Kaufman R . An evaluation of the association between vehicle type and the source and severity of pedestrian injuries. Traffic Inj Prev. 2005; 6(2):185-92. DOI: 10.1080/15389580590931680. View