A Computational Approach for Automated Posturing of a Human Finite Element Model

Report No. ARL-MR-0934
Authors: Justin McKee; Adam Sokolow
Date/Pages: July 2016; 42 pages
Abstract: Human body models for use in Soldier protection are fundamental building blocks. A major gap in our current human body modeling capability is the proper accounting of posture. Posture relates to Soldier protection by influencing the path that loading will be transferred into the body and is a major source of variability. The development of a finite element (FE) model is a time consuming and labor intensive process and taking the approach of developing multiple models to address the range of postures relevant to each threat is not realistically feasible. Here we discuss the development of a tool to automate the process of positioning an existing FE model of the leg, lumbar spine,and thoracic spine into a desired posture. This approach allows the repeated use of a single FE model to address multiple problems and provides an automated and consistent method that produces a range of FE meshes to study how initial posture might relate to injury.
Distribution: Approved for public release
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Last Update / Reviewed: July 1, 2016