Influence of FE model variability in predicting brain motion and intracranial pressure changes in head impact simulations
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|Title:||Influence of FE model variability in predicting brain motion and intracranial pressure changes in head impact simulations||Authors:||Horgan, T. J.
Gilchrist, M. D.
|Permanent link:||http://hdl.handle.net/10197/4687||Date:||Aug-2004||Abstract:||In order to create a useful computational tool that will aid in the understanding and perhaps prevention of head injury, it is important to know the quantitative influence of the constitutive properties, geometry and model formulations of the intracranial contents upon the mechanics of a head impact event. The University College Dublin Brain Trauma Model (UCDBTM)  has been refined and validated against a series of cadaver tests and the influence of different model formulations has been investigated. In total six different model configurations were constructed: (i) the baseline model, (ii) a refined baseline model which explicitly differentiates between grey and white neural tissue, (iii) a model with three elements through the thickness of the cerebrospinal fluid (CSF) layer, (iv) a model simulating a sliding boundary, (v) a projection mesh model (which also distinguishes between neural tissue) and (vi) a morphed model. These models have been compared against cadaver tests of Trosseille  and of Hardy . The results indicate that, despite the fundamental differences between these six model formulations, the comparisons with the experimentally measured pressures and relative displacements were largely consistent and in good agreement. These results may prove useful for those attempting to model real life accident scenarios, especially when the time to construct a patient specific model using traditional mesh generation approaches is taken into account.||Type of material:||Journal Article||Publisher:||Informa UK (Taylor & Francis)||Copyright (published version):||2004 Informa UK (Taylor & Francis)||Keywords:||Head impact biomechanics;Finite element modelling||DOI:||10.1533/ijcr.2004.0299||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Mechanical & Materials Engineering Research Collection|
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