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Assessing transferred energy in drone impacts using rigid impactor tests
Zdeněk Svatý1, Pavel Vrtal1, Luboš Nouzovský1
1Department of Forensic Experts in Transportation, Faculty of Transportation Sciences, Czech Technical University in Prague, Prague, Czech Republic.
Drone-human collisions pose safety risks. This study found that increasing drone impact energy decreases transferred energy, challenging linear safety assumptions for unmanned aerial systems (UAS) and anthropomorphic test devices (ATD).
Area of Science:
- Biomechanics and Accident Reconstruction
- Robotics and Unmanned Systems Safety
Background:
- Unmanned aerial systems (UAS) are rapidly advancing, increasing the need to understand collision safety.
- Assessing health consequences of drone-human impacts requires robust testing methodologies.
Purpose of the Study:
- To determine anthropomorphic test device (ATD) response to vertical head impacts from unmanned aerial systems (UAS).
- To generate a validated dataset for comparing UAS impacts with rigid impactor tests.
- To analyze energy transfer dynamics across a range of impact kinetic energies (KE).
Main Methods:
- Conducted 30 tests using an ATD with a rigid impactor, varying kinetic energy from 5 to 180 J.
- Assumed most impact kinetic energy was absorbed by the ATD head for scalable analysis.
- Compared ATD test results with actual UAS impact data, focusing on vertical, top-of-head impacts.
Main Results:
- Transferred energy to the ATD decreased as UAS impact kinetic energy increased, deviating from linear trends seen with rigid impactors.
- Deformation of UAS structures, like the DJI Phantom, significantly reduced energy transmission to the head.
- Biomechanical criteria (Peak Head Acceleration, Head Injury Criterion 15ms [HIC15], Neck Injury Criterion [Nij]) confirmed reduced energy transfer.
- HIC15 demonstrated a more accurate relationship with KE than peak head acceleration when critical impact speeds are unattainable.
Conclusions:
- Current UAS safety criteria based on linear energy transfer assumptions may overestimate injury risks due to UAS deformability.
- The study provides a validated dataset for vertical, top-of-head impacts, crucial for refining safety standards.
- HIC15 is a potentially more reliable metric than peak head acceleration for assessing injury risk in limited testing scenarios.
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