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Nonlinear Finite Element Modeling and Validation of Traumatic Brain
Injury in Motor Vehicle Collisions
XIAO Feng1 ,JIN Qi2 ,LI Chenxi1 ,DING Junjie 1,JIA Yunran1
2026, 51(1):
17-24.
DOI: 10.16638/j.cnki.1671-7988.2026.001.003
Accurate prediction of traumatic brain injury (TBI)in motor vehicle collisions is crucial
for vehicle safety design and injury biomechanics research.Existing finite element head models
(FEHM)suffer from insufficient predictive accuracy due to simplified constitutive relationships for
brain tissue,limiting their application in automotive safety development.This paper develops an
improved nonlinear finite element model of head impact based on Nahum's cadaveric experimental data,introducing the Mooney-Rivlin hyperelastic constitutive model to characterize the cerebrum,
cerebellum,and brainstem,and employs adaptive meshing technology to optimize model accuracy.
ABAQUS simulations reproducing a 9 .94 m/s frontal impact condition demonstrate that intracranial
pressure peak prediction errors at four representative locations (impact side,contralateral side,upper
occipital region,and lower occipital region)are highly consistent with Nahum's cadaveric experimental
data,with better peak time synchronization.Comparison with a linear viscoelastic model shows that
the hyperelastic model improves predictive accuracy by 15%~20%and effectively eliminates
pressure oscillations.This high-biofidelity model provides a valuable simulation tool for automotive
crash safety design,head injury criteria optimization,and virtual testing validation,demonstrating
significant engineering value for improving occupant and pedestrian protection.
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