Research Output per year
In the real world, the severity of traumatic injuries are measured using the Abbreviated Injury Scale (AIS). However, the AIS scale cannot currently be computed by using the output from finite element human computer models, which currently rely on maximum principal strains (MPS) to capture serious and fatal injuries. In order to overcome these limitations, a unique Organ Trauma Model (OTM) able to calculate the threat to life of a brain model at all AIS levels is introduced. The OTM uses a power method, named Peak Virtual Power (PVP), and defines brain white and grey matter trauma responses as a function of impact location and impact speed. This research has considered ageing in the injury severity computation by including soft tissue material degradation, as well as brain volume changes due to ageing. Further, to account for the limitations of the Lagrangian formulation of the brain model in representing hemorrhage, an approach to include the effects of subdural hematoma is proposed and included as part of the predictions. The OTM model was tested against two real-life falls and has proven to correctly predict the Postmortem outcomes. This paper is a proof of concept, and pending more testing, could support forensic studies.
Bibliographical noteThis article belongs to the Special Issue Numerical Modelling and Simulation Applied to Head Trauma
Road Safety Trust (RST 65-3-2017) “Reducing Road Traffic Casualties through Improved Forensic Techniques and Vehicle Design (“RoaD”) - Final ReportBastien, C., Davies, H., Sturgess, C. N. & Wellings, R., 22 May 2020, (Submitted) 36 p.
Research output: Book/Report › Commissioned report
Bastien, C., Sturgess, C. N., Davies, H., & Cheng, X. (2020). Computing Brain White and Grey Matter Injury Severity in a Traumatic Fall. Mathematical and Computational Applications, 25(3), . https://doi.org/10.3390/mca25030061