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Development of a Computationally Efficient Full Human Body Finite Element Model

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Motor vehicle injuries and mortalities remain a major public health concern worldwide. According to the World Health Organization in 2013, there were more than one million deaths due to motor vehicle crashes. To mitigate these injuries and fatalities, researchers use a variety of tools to develop and evaluate vehicle safety mechanisms. Computer simulations using Finite Element Analysis (FEA) are becoming a more prominent tool in the study of motor vehicle crash safety. FEA models of the human body have the potential to greatly enhance the volume of biomechanically relevant data obtained from crash simulations. The Global Human Body Models Consortium (GHBMC) is an international consortium of industry, government, and academic research groups that have consolidated development efforts to produce advanced human body finite element models for trauma research. The GHBMC detailed 50th percentile male occupant is an anatomically detailed finite element model with 1.3 million nodes and over 2 million elements. While this complexity provides the ability to investigate the biomechanics of specific injuries, it results in a computationally expensive model. Therefore, this thesis describes the development of a simplified and computationally efficient human body finite element model. This model complements the GHBMC detailed 50th percentile male occupant by providing kinematic and kinetic data with a significantly reduced runtime, using the same body habitus. The model can be used in a modular fashion with the GHBMC detailed model and more broadly can be used as a platform for parametric studies or studies focused on specific body regions.
Finite element
human body
Schwartz, Doron (author)
Gayzik, Francis S (committee chair)
Stitzel, Joel D (committee member)
Weaver, Ashley A (committee member)
2015-06-23T08:35:43Z (accessioned)
2015-12-22T09:30:10Z (available)
2015 (issued)
Biomedical Engineering (discipline)
2015-12-22 (terms)
http://hdl.handle.net/10339/57119 (uri)
en (iso)
Wake Forest University
Development of a Computationally Efficient Full Human Body Finite Element Model

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