This study focuses on the development of morphing techniques to create individualized body models for biomechanical analysis in high-G environments, such as those encountered by fighter pilots. Traditional human body models often lack the ability to represent individual variability in body dimensions and biomechanics,…
The nonlinear and complex nature of tissue mechanics presents significant computational challenges, particularly in dynamic mode where solver complexity escalates exponentially. Traditional numerical approaches like finite element method (FEM) are constrained by the intricate requirements when dealing with complex morphologies and heterogeneous materials, which…
1.74 million people are affected by Traumatic Brain Injury (TBI) in the United States annually, which emphasizes the necessity to reliably measure and predict the material behavior of the brain in response to a variety of mechanical loading scenarios. Computational head models are widely…
One failure mode experienced by biological materials is cavitation. Synthetic gels can serve as biological tissue analogs for studying this phenomenon. Currently, gel cavitation is typically investigated in initially stress-free materials via cavitation rheology. The lack of cavitation experiments on pre-stressed gel samples, however,…
The mechanisms of blast-induced hearing loss are still not well understood. We used an integrated modeling and experimental approach to investigate the bone conducted impulse noise transmission into the inner ear and to gain insight into the fundamental mechanisms. One important question to address…
A large deformation, coupled finite-element (FE) model is developed to simulate the multi- phase response of soft porous materials subjected to high strain-rate (shock) loading, herein for particular application to lung parenchyma. The approach is based on the theory of porous media (TPM) at…