Traumatic Brain Injury

Risk of Traumatic Brain Injury from Car Accidents

We have developed an approach to calculate the risk of traumatic brain injury (TBI) from car accidents. The total probability of TBI is assessed through the fusion of data from an experiment-based logistic regression risk model and data stemming from finite element (FE) simulations. The proposed approach is based on a framework which includes FE simulations of vehicles crashes with dummy and an FE model of the brain using loading conditions derived from the crash simulations. The fusion of data leads to a risk model that can account for sources of uncertainties such as the brain material properties or crash conditions uncertainties (e.g., impact angle or velocity).

 

Example of crash with dummy (model run with LS-Dyna). The accelerations are then transferred to a finite element model of the brain.

 

 

 

 

 

 

 

 

Example of maximum principal strain in the brain during a crash.

 

 

 

 

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