Cervical spine model to predict capsular ligament response in rear impact

Area of Science:

• Biomechanics
• Occupant Injury Research
• Computational Modeling

Background:

• Predicting occupant injury in rear impacts requires understanding neck kinematics and tissue responses.
• Finite element models are crucial tools for simulating and analyzing these complex biomechanical events.

Purpose of the Study:

• To validate a detailed finite element model for predicting neck kinematics and tissue-level responses during rear impact scenarios.
• To predict capsular ligament (CL) strain and assess injury thresholds in response to varying rear impact severities.

Main Methods:

• Validated a 50th percentile male finite element model for rear impact scenarios using literature-based tissue properties.
• Model validation included kinematic response data from volunteer and cadaver rear impacts.
• Tissue-level validation used isolated full spine rear impact data.

Main Results:

• The model accurately predicted kinematic responses and capsular ligament (CL) strain across different impact severities.
• Predicted CL injury onset at 14 g rear impact, aligning with crash epidemiology.
• Demonstrated that active muscle engagement significantly reduces CL strain (28% to 13% at 7 g).

Conclusions:

• The validated finite element model provides a reliable tool for predicting occupant injury potential in rear impacts.
• The study quantifies CL strain as a key indicator for whiplash-associated disorders.
• Highlights the critical protective effect of muscle activation in mitigating neck injury during rear-end collisions.