Dynamic Analysis and classification of Deformation mechanism in Head Impact Injury using Image based Finite Element Method (FEM

Abstract

Brain injury is the leading cause of morbidity and mortality in various scenarios and brings a lot of social and economic problems. Due to the large amount of traffic injuries (specially) with head trauma, it is crucial to investigate damage mechanisms for better treatment. Throughout the decades, finite element head models (FEHMs) have been used to assess the biomechanics of head injury mechanism. Given the fact that some of the internal biomechanical responses of the brain can neither be measured easily nor in-vivo by experimental techniques, FEHM offers a cost-effective alternative to experimental method in estimating the internal biomechanical responses of human head. By performing dynamic analysis, the impact of transient loads or to design potential noise and vibration problems, can be evaluated. In this study, we perform computational modeling of a human head model using time variant impact analysis. The major spark of this work is based on the identification of deformation mechanisms. Due to the low cost and high accuracy, numerical simulations have been widely accepted as the best way and partial alternative to the physical tests. We ran a mechanically elastic model using static analysis (initially) on a patient specific data. Our results (2.0 e-04GPa) are quite in agreement with the results fetched from literature (1.1 e-04 GPa). Deformation mechanisms such as notching, crack initiation, crack propagation and bending were identified when an equal amount of pressure on frontal, occipital and temporal regions is applied.