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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
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Protection performance of bicycle helmets.
Caroline Deck1, Nicolas Bourdet1, Frank Meyer1
1University of Strasbourg, Icube, UMR 7357 Multiscale Materials and Biomechanics, 2 rue Boussingault, Strasbourg 67000, France.
Journal of Safety Research
|December 22, 2019
Summary
This study introduces a new bicycle helmet testing method using realistic impact data and brain injury risk assessment. It reveals that linear-lateral and oblique impacts pose the highest risks for moderate neurological injuries.
Area of Science:
- Biomechanics
- Traumatic Brain Injury
- Protective Equipment Evaluation
Background:
- Current bicycle helmet testing lacks realistic head impact conditions and accurate brain tolerance limits.
- Existing evaluation methods need improvement for better head protection assessment.
Purpose of the Study:
- To propose an advanced bicycle helmet evaluation methodology.
- To incorporate realistic impact scenarios and tissue-level brain injury risk.
- To enhance the assessment of head protection systems.
Main Methods:
- Developed a novel methodology for bicycle helmet evaluation.
- Applied the method to 32 helmets, conducting 576 experimental impact tests.
- Performed 576 numerical simulations to analyze brain response.
Main Results:
- Identified linear-lateral and oblique impacts (ZRot) as most critical.
- These critical impacts show approximately 50% risk of moderate neurological injuries.
- The new method allows for comparative analysis of helmet protection capabilities.
Conclusions:
- The proposed methodology offers a more realistic assessment of bicycle helmet performance.
- It provides a basis for a helmet rating system to guide consumer choice.
- Highlights the need for improved testing protocols to mitigate brain injury risks.
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