Head injury criteria assessment using head kinematics from crash tests and accident reconstructions

Abstract

Objective

The aim of this study was to assess head injury criteria based on their correlation to brain strain in a Finite Element (FE) head model (the KTH Royal Institute of Technology model), by simulation of head kinematics data from frontal and side crash tests with Anthropomorphic Test Devices (ATDs), and from Human Body Model (HBM) accident reconstructions.

Methods

Six Degrees of Freedom (DoF) head kinematic data was extracted from 221 crash tests, consisting of frontal impacts with the THOR-50M ATD, near-side and far-side impacts with the WorldSID-50M ATD, and from 19 FE HBM accident reconstructions. The head injury criteria HIC₁₅, HIP, BrIC, UBrIC, DAMAGE and CIBIC were calculated, and FE head model simulations were conducted using the six DoF kinematics data. The 100th, 99th, and 95th percentile Maximum Principal Strains (MPS) of the brain were extracted and linear regression models with respect to the injury criteria were created. The injury criteria were then evaluated based on the coefficient of determination, R², and the Normalized Root Mean Square Error (NRMSE) of each regression model.

Results

For all the data sets combined and for the WorldSID far-side data, CIBIC had the best goodness of fit, with R² of 0.76 and 0.85. For frontal impacts with THOR and the combined ATD data set, DAMAGE had highest R², 0.83 and 0.78, respectively. Injury criteria including translational accelerations were ranked lower, and BrIC were among the three lowest ranked for most data sets evaluated. UBrIC generally ranked after DAMAGE and CIBIC with respect to the goodness of fit but had the lowest NRMSE for all data sets.

Conclusions

The two mass-spring-damper brain surrogate model criteria, DAMAGE and CIBIC, were best in capturing the head model MPS response for both the THOR and WorldSID data sets. BrIC had lower correlation to the head model MPS and performed marginally better than the linear acceleration only criteria for all the data sets combined. This study supports the suitability of DAMAGE and CIBIC as brain injury criteria to be used with THOR-50M and WorldSID-50M in vehicle crash test conditions, as they outperform BrIC.

Keywords:

• Brain injury criteria
• Finite Element
• head model
• THOR
• WorldSID

Acknowledgement

This work was carried out at SAFER, Vehicle and Traffic Safety Centre at Chalmers University of Technology, Gothenburg, Sweden.

Disclosure statement

In accordance with Taylor & Francis policy and our ethical obligation as researchers, we are reporting that we are employees of a company that may be affected by the research reported in the enclosed paper. We have disclosed those interests fully to Taylor & Francis.

Data availability statement

Due to the nature of this research, participants of this study did not agree for their data to be shared publicly, so supporting data is not available.

Additional information

Funding

This work was funded by FFI-Strategic Vehicle Research and Innovation, by Vinnova, the Swedish Energy Agency, the Swedish Transport Administration, and the Swedish Vehicle Industry.