Tytuł artykułu
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The increased number of accidents involving UAVs striking people has caused great societal concern. Therefore, it is necessary to study the threat potential and severity of ground collision accidents of UAVs. This study analyzed the head and neck injury risk resulting from the impact of medium-mass UAVs. First, the finite element (FE) model of the M200-Hybrid III 50th dummy was established, in which the M200 itself had been validated against drop tests, and then the M200-Hybrid III 50th model was validated based on the experimental data of the M200 impacting on the dummy head. High consistency between the simulations and the experiments was observed. Second, simulations were conducted to analyze the head and neck injury severity at different impact speeds, angles, and locations of the M200. As the impact speed increases, HIC15 increases exponentially and Nij increases linearly. It is found that the critical speed range causing injury for both vertical and horizontal impacts is 7-9 m/s. As the impact angle increases, HIC15 varies in the form of the sum of an inverse proportional function and a linear function, and Nij increases in the form of the sum of power and quadratic function. In addition, the battery-first and the top of mainframe impacts lead to the highest probability of head and neck injury among different impact locations, while the landing gear-first is the lowest. Finally, a biomechanical model (THUMS) was incorporated to develop the M200-THUMS model to study the tissue-level injury of the head and neck under different impact conditions. The simulation results show that neck is prone to ligament injury under vertical impact, while the skull is more likely to be fractured under horizontal impact.
Czasopismo
Rocznik
Tom
Strony
art. e226, 1--21
Opis fizyczny
Bibliogr. 26 poz., il., rys., tab., wykr.
Twórcy
autor
- Beijing Jiaotong University, School of Mechanical, Electronic and Control Engineering, Beijing, People’s Republic of China
autor
- University of Science and Technology Beijing, School of Mechanical Engineering, Beijing, People’s Republic of China
autor
- Beijing Jiaotong University, School of Mechanical, Electronic and Control Engineering, Beijing, People’s Republic of China
autor
- CRRC Changchun Railway Vehicles Co., Ltd., Changchun, China
autor
- CRRC Changchun Railway Vehicles Co., Ltd., Changchun 130062, China
autor
- China Aircraft Strength Research Institute, Xi’an, People’s Republic of China
autor
- Geely Automobile Research Institute (Ningbo) Co., Ltd., Ningbo, People’s Republic of China
Bibliografia
- 1. Bai CY, Guo YZ, Liu XC, et al. Research progress and pros pects of the collision safety characteristics of civil light and small UAVs. Acta Aeronaut Astronaut Sin. 2022. (In Chinese)
- 2. Guo YZ, Liu XC, Bai CY, et al. Impact of low-altitude drop of civilian light and small UAVs on the safety of ground personnel. Aeronaut Sci Technol. 2021;32(12):115-21 (In Chinese).
- 3. Liu XH, Guo B, He R, et al. Research on dynamic impact performance of light-UAV battery. J Mech Eng. 2023;59(02):177-86 (In Chinese).
- 4. Yildiz BS. Slime mould algorithm and kriging surrogate model based approach for enhanced crashworthiness of electric vehicles. Int J Veh Des. 2020;83(1):54-68.
- 5. Aye CM, Pholdee N, Yildiz AR, et al. Multi-surrogate-assisted metaheuristics for crashworthiness optimisation. Int J Veh Des. 2019;80(2-4):223-40.
- 6. Liu J, Chen C, Yu JY, et al. Unmanned aerial vehicle strike on a flat plate: Tests and numerical simulations. Chin J Aeronaut. 2023;36(4):286–98.
- 7. Meng XH, Sun YJ, Yu JY, et al. Dynamic response of the horizontal stabilizer during UAS airborne collision. Int J Impact Eng. 2019;126:50-61.
- 8. Low KH. An initial parametric study of weight and energy thresh olds for falling unmanned aerial vehicles (UAVs). In: 2017 Work shop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS). IEEE, 2017. p. 240-245.
- 9. Courharbo AL. Mass threshold for “harmless” drones. Int J Micro Air Veh. 2016;9(2):77-92.
- 10. Campolettano ET, Bland ML, Gellner RA, et al. Ranges of injury risk associated with impact from unmanned aircraft systems. Ann Biomed Eng. 2017;45(12):2733-41.
- 11. Koh CH, Deng C, Li L, et al. Experimental and simulation weight threshold study for safe drone operations. In: 2018 AIAA Information Systems-AIAA Infotech @ Aerospace, 2018.
- 12. Koh CH, Low KH, Li L, et al. Weight threshold estimation of falling UAVs (unmanned aerial vehicles) based on impact energy. Transp Res C Emerg Technol. 2018;93:228-55.
- 13. Alliance for System Safety of UAS through Research Excellence (ASSURE). Task A14: UAS ground collision severity evaluation 2017-2019. Washington, DC: Federal Aviation Administration, 2019.
- 14. Stark DB, Willis AK, Eshelman Z, et al. Human response and injury resulting from head impacts with unmanned aircraft sys tems. Stapp Car Crash J. 2019;63:29-64.
- 15. Rattanagraikanakorn B, Schuurman M, Gransden DI, et al. Model ling head injury due to unmanned aircraft systems collision: Crash dummy vs human body. Int J Crashworthiness. 2020;12:1-14.
- 16. Weng YH, Bian KW, Gunasekaran K, et al. Modeling small remotely piloted aircraft system to head impact for investigating craniocerebral response. J Biomech. 2021;128: 110748.
- 17. Chen C, Guo YZ, Liu J, et al. Research on dropping test and numerical simulation for unmanned aerial vehicle. Int J Crash worthiness. 2021;27:1205-21.
- 18. National Highway Traffic Safety Administration (NHTSA), Fed eral Motor Vehicle Safety Standards (FMVSS). FMVSS 208: occupant crash protection. Washington, DC: National Highway Traffic Safety Administration, US Department of Transportation, 2007.
- 19. United Nations Economic Commission for Europe (ECE). ECE R94: Uniform provisions concerning the approval of vehicles with regard to the protection of the occupants in the event of a frontal collision, 2016.
- 20. Klinich K, Saul R, Auguste G, et al. Techniques for develop ing child dummy protection reference values. Washington, DC: National Highway Traffic Safety Administration; 1996.
- 21. Xu W. A Study of head biomechanical response and injury mechanisms in vehicle traffic accidents. Hunan University, 2007. (In Chinese).
- 22. Deng GX, Wang F, Yu C, et al. Assessment of standing passenger traumatic brain injury caused by ground impact in subway collisions. Accid Anal Prev. 2022;166: 106547.
- 23. MacNab I. Whiplash injuries of the neck. In: Proceedings: American Association for Automotive Medicine Annual Conference. Association for the Advancement of Automotive Medicine, 1965, vol. 9, p. 11-15.
- 24. Mustafy T, Moglo K, Adeeb S, et al. Injury mechanisms of the ligamentous cervical C2-C3 functional spinal unit to complex loading modes: finite element study. J Mech Behav Biomed Mater. 2016;53:384-96.
- 25. Song GH. Parametric modeling and injury study of children's neck under collision conditions. Beijing Jiaotong University, 2019. (In Chinese).
- 26. Chi WC, Geng S. Research of seat in whiplash based on THUMS human model. Intern Combust Engine Parts. 2019;24:5-7 (In Chinese).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6dd21844-eb6b-47d9-aaff-9cb777b75b87
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.