Mike Arun, PhD
Department of Neurosurgery
Medical College of Wisconsin
Parametric Finite Element Modeling: Reflection of Population and Anatomical Variations
In injury biomechanics, finite element (FE) models are typically used to evaluate the potential for injury and identify injury mechanisms in order to improve a design concept. FE model developments are frequently supplemented by experimental data to validate the biofidelity of the models. Development of FE human models over the past two decades has focused primarily on the development and validation of increasingly sophisticated models of standardized human age, size, and posture. Yet, the greatest potential of FE human models could lie in representing the large range of human variability in age, size, and postures, particularly because it is not feasible to develop a large number of physical anthropometric test devices (ATD, also known as dummies). With the recent development in FE morphing techniques, limited success has been achieved to generate whole body FE models that reflect the variation within human population and anatomies. Towards that end, my research focusses on the development of parametric FE models that can be rapidly morphed to represent a specific age, size, and posture using advanced morphing methods. In this talk, I will discuss my recent efforts in 1) Development of a 75 year-old whole body FE model, 2) Generation of complex posture variations in whole body FE model using morphing methods, 3) Dynamic lumbar spine experimental characterization to supplement FE model development. Overall, my research on parametric FE modeling and experimentation holds great promise for application in the field of injury and clinical biomechanics.