Measurement and evaluation for head injury of pedestrian impact using high-speed digital image correlation

Xizuo Dan; Yonghong Wang; Siyuan Bao; Junrui Li; Yue Hu; Lianxiang Yang

doi:10.1117/1.OE.57.7.074102

13 July 2018 Measurement and evaluation for head injury of pedestrian impact using high-speed digital image correlation

Xizuo Dan, Yonghong Wang, Siyuan Bao, Junrui Li, Yue Hu, Lianxiang Yang

Author Affiliations +

Optical Engineering, Vol. 57, Issue 7, 074102 (July 2018). https://doi.org/10.1117/1.OE.57.7.074102

Abstract

This paper presents the use of the high-speed digital image correlation (DIC) method for measurement of the head injury of a pedestrian in a vehicle–pedestrian collision experiment. Two simultaneous high-speed cameras captured the images of the impact process between the head-simulator and the car hood. The DIC method can achieve comprehensive analysis of the impact and help to reconstruct the impact process, from which not only the velocity, acceleration of the headform impactor, and the head injury criterion (HIC) but also the angular velocity and acceleration can be calculated. The possibility of using DIC to calculate of the neck injury criterion (NIC) is also discussed in this paper. Furthermore, the quantitative calculation of the full-field deformation of the car hood during the collision can also be achieved with the DIC method, which is of great practical value in optimizing automobile design and collision protection. A vehicle–pedestrian collision experiment is carried out, and the comprehensive results show that the DIC method can obtain accurate and comprehensive data in the calculation of human and vehicle collision.

Citation Download Citation

Xizuo Dan, Yonghong Wang, Siyuan Bao, Junrui Li, Yue Hu, and Lianxiang Yang "Measurement and evaluation for head injury of pedestrian impact using high-speed digital image correlation," Optical Engineering 57(7), 074102 (13 July 2018). https://doi.org/10.1117/1.OE.57.7.074102

Received: 30 March 2018; Accepted: 20 June 2018; Published: 13 July 2018

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