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International Journal of Automotive Technology > Volume 24(3); 2023 > Article
International Journal of Automotive Technology 2023;24(3): 633-642.
doi: https://doi.org/10.1007/s12239-023-0053-2
Taewung Kim 1, Kihoon Song 1, Seok-ho Hong 2
1Department of Mechanical Design Engineering, Tech University of Korea
2Chassis & Safety Control Engineering Design Team, Hyundai Motor Group
PDF Links Corresponding Author.  Taewung Kim  , Email. taewungkim@tukorea.ac.kr
The current study aimed to develop a method for estimating whole-body injury metric values (WBIMs), which are widely used in epidemiological studies, to determine airbag deployment threshold during frontal crashes using a computational human surrogate model and real-world crash data. To this end, a finite element human body model was instrumented to predict the risk of the injuries. The whole body was divided into 22 body regions. Then, body region-specific injury pattern databases were constructed for these body regions using the NASS-CDS database. Monte Carlo Sampling was performed to calculate WBIMs, such as the probability of death and lost years of life. A series of frontal crash simulations was performed for various Delta-V with and without deploying pyrotechnic restraint systems. Lastly, the WBIM values obtained from the proposed method were compared to those obtained from the NASS-CDS. From the Delta-V of 25 km/h, the airbag-deployed conditions demonstrated a protective effect compared to the non-deployed conditions. The predicted WBIM values using the proposed method demonstrated a similar trend to that presented in the field data. The proposed method to estimate WBIM values can be used to evaluate various occupant protection systems.
Key Words: Airbag threshold, Whole-body injury metric, Lost years of life, Human body model
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