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A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact
Published on: September 21, 2017
Cervical spine response in frontal crash.
Matthew B Panzer1, Jason B Fice, Duane S Cronin
1Department of Mechanical Engineering, University of Waterloo, 200 University Ave. West, Waterloo, Ontario, Canada.
Medical Engineering & Physics
|June 14, 2011
Summary
A validated human cervical spine finite element model accurately predicts neck injury in car crashes. This tool aids in developing better occupant protection systems by analyzing tissue-level responses during impacts.
Area of Science:
- Biomechanics
- Computational modeling
- Injury prevention
Background:
- Predicting occupant neck response and injury in motor vehicle accidents is crucial for enhancing safety.
- Finite element models are valuable tools for simulating complex biomechanical responses.
Purpose of the Study:
- To develop and validate a detailed human cervical spine finite element model.
- To evaluate the model's biofidelity in predicting kinematic and tissue-level responses during frontal impacts.
- To assess soft tissue responses and predict potential injuries in various frontal crash scenarios.
Main Methods:
- Development of a human cervical spine finite element model with a priori material properties and geometry.
- Validation using segment-level flexion/extension, whole ligamentous spine tension, volunteer head kinematics, and cadaveric soft tissue responses.
- Cross-correlation analysis to assess model biofidelity (rated 0.79).
- Simulation of frontal impact scenarios (8G to 22G) to evaluate soft tissue response.
Main Results:
- The validated model demonstrated good biofidelity in predicting cervical spine responses.
- Disc strains were highest in the C4-C5-C6 segments, and ligament strains were greatest in the ISL and LF ligaments.
- At 22G, both ligament and disc fiber strain levels exceeded established failure tolerances.
- The model accurately predicted local tissue responses and injury potential in automotive crash scenarios.
Conclusions:
- A tissue-level human cervical spine finite element model can accurately replicate biofidelic kinematics and local tissue responses.
- The developed model is a viable tool for predicting neck injury in automotive crash simulations.
- This research contributes to the advancement of occupant protection systems through detailed injury prediction.
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