Automotive and Human Injury Biomechanics

This study assesses how neck muscle strength and cervical viscoelasticity affect brain motion, intracranial pressure, and axonal strain during head impacts.

This study shows that element formulation affects mesh convergence in finite element brain models, with selectively reduced integration providing the fastest convergence.

This study uses finite element modeling to show that repetitive low-intensity blast exposure increases intracranial pressure and high-frequency spectral content compared to single exposures.

This study investigates how the falx cerebri contributes to the splenium's vulnerability in traumatic brain injury using biomechanical simulations.

This study shows that using nonlinear pia mater properties in finite element models improves predictions of acute subdural hematoma compared to linear models.

This study creates age and gender-stratified group-average brain models to analyze biomechanical responses to traumatic brain injury, finding significant demographic differences in deformation patterns.

This paper introduces a novel helmet technology, the Release Layer System (RLS), which reduces rotational energy during impacts, significantly lowering the risk of brain injury.

This study compares strain responses between surface- and voxel-based finite element head models, finding similar results except at interfacial boundaries where differences exceed 0.1.

This study evaluates how different helmets affect brain strain distribution and peak values during impacts, showing that strain metrics and helmet performance depend on injury parameters used.