Development and Full Body Validation of a 5th Percentile Female Finite Element Model

2016-22-0015

11/07/2016

Event
60TH Stapp Car Crash Conference
Authors Abstract
Content
To mitigate the societal impact of vehicle crash, researchers are using a variety of tools, including finite element models (FEMs). As part of the Global Human Body Models Consortium (GHBMC) project, comprehensive medical image and anthropometrical data of the 5th percentile female (F05) were acquired for the explicit purpose of FEM development. The F05-O (occupant) FEM model consists of 981 parts, 2.6 million elements, 1.4 million nodes, and has a mass of 51.1 kg. The model was compared to experimental data in 10 validation cases ranging from localized rigid hub impacts to full body sled cases. In order to make direct comparisons to experimental data, which represent the mass of an average male, the model was compared to experimental corridors using two methods: 1) post-hoc scaling the outputs from the baseline F05-O model and 2) geometrically morphing the model to the body habitus of the average male to allow direct comparisons. This second step required running the morphed full body model in all 10 simulations for a total of 20 full body simulations presented. Overall, geometrically morphing the model was found to more closely match the target data with an average ISO score for the rigid impacts of 0.76 compared to 0.67 for the scaled responses. Based on these data, the morphed model was then used for model validation in the vehicle sled cases. Overall, the morphed model attained an average weighted score of 0.69 for the two sled impacts. Hard tissue injuries were also assessed and the baseline F05-O model was found to predict a greater occurrence of pelvic fractures compared to the GHBMC average male model, but predicted fewer rib fractures.
Meta TagsDetails
DOI
https://doi.org/10.4271/2016-22-0015
Pages
36
Citation
Davis, M., Koya, B., Schap, J., and Gayzik, F., "Development and Full Body Validation of a 5th Percentile Female Finite Element Model," SAE Technical Paper 2016-22-0015, 2016, https://doi.org/10.4271/2016-22-0015.
Additional Details
Publisher
Published
Nov 7, 2016
Product Code
2016-22-0015
Content Type
Technical Paper
Language
English