A Design and Optimization Method for Pedestrian Lower Extremity Injury Analysis with the aPLI Model

2020-01-0929

04/14/2020

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
As pedestrian protection tests and evaluations have been officially incorporated into new C-NCAP, more stringent requirements have been placed on pedestrian protection performance. In this study, in order to reduce the injury of the vehicle front end structure to the pedestrian's lower extremity during the collision, the advanced pedestrian legform impactor (aPLI) model was used in conjunction with the finite element vehicle model for collision simulation based on the new C-NCAP legform test evaluation regulation. This paper selected the key components which have significant influences on the pedestrian's leg protection performance based on the CAE vehicle model, including front bumper, front-cover plate, upper impact pillar, impact beam and lower support plate, to form a simplified model and conducted parametric modeling based on it. Then, the variable correlation analysis was carried out on the sample results obtained from the design of experiment (DOE), and the contribution analysis of design variables to the injury measures was discussed. The sample variables and responses were also used to construct the approximate models for further optimization studies. Taking the pedestrian lower extremity injuries as the optimization target, the front end structural parameters were matched and optimized. Finally, an optimal configuration for parameter matching of key components of the front end structure for pedestrian protection was established, which effectively improve the protection of pedestrian lower extremity.
Meta TagsDetails
DOI
https://doi.org/10.4271/2020-01-0929
Pages
9
Citation
Chen, R., Yu, H., Xu, H., Lin, G. et al., "A Design and Optimization Method for Pedestrian Lower Extremity Injury Analysis with the aPLI Model," SAE Technical Paper 2020-01-0929, 2020, https://doi.org/10.4271/2020-01-0929.
Additional Details
Publisher
Published
Apr 14, 2020
Product Code
2020-01-0929
Content Type
Technical Paper
Language
English