AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Article Link
Collect
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Full Length Article | Open Access

Unmanned aerial vehicle strike on a flat plate: Tests and numerical simulations

Jun LIUaChi CHENa,bJingyu YUaJian LIaZhuguo ZHANGcYafeng WANGdYulong LIa,( )
School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China
AVIC (Chengdu) UAV System Co., Ltd, Chengdu 611731, China
Shanghai Aircraft Airworthiness Certification Center of CAAC, Shanghai 200335, China
China Aircraft Strength Research Institute, Xi’an 710065, China

Peer review under responsibility of Editorial Committee of CJA.

Show Author Information

Abstract

The incursion of Unmanned Aerial Vehicles (UAVs) into airports often occurs due to the popularity of drones, which may lead to a threat to aircraft flight safety. Therefore, estimating the dynamic impact load caused by drone strikes is essential. This paper proposes a test method with high precision and low cost involving launching of a UAV to impact a flat plate specimen by using an air gun. The test results of UAVs impacting flat plates at different impact velocities, such as the UAV damage deformation captured by a high-speed camera and strain vs time dynamic response curves of plates, were obtained and analysed. At the same time, a corresponding numerical simulation was carried out by using the explicit finite element software LS-DYNA. The predicted damage to the UAV and strain on the flat plate during the strike process were compared with the test results. The overall trend of the simulation results is in good agreement with the test results, at least for the first three milliseconds of the event. This shows that the numerical simulation model established in this paper is reasonable. The UAV numerical method established in the present paper can be used to carry out numerical simulations and evaluations of the collision safety of UAVs against large aircraft and high-value ground targets. The results show that the local deformation of the impacted target is uneven due to the distribution of concentrated mass components such as motors, battery, and camera. As the impact velocity of the UAV increases, all parts of the UAV are seriously damaged and basically in a fragmented state, and the battery is greatly deformed. The interaction between the UAV and the flat plate specimen is approximately 2.7 ms, and the UAV numerical simulation model established in this paper can well simulate the real UAV impact process.

References

1

Hume T, Greene RA. Investigations launched after suspected drone strikes passenger jet in London. CNN 2016.

2

Wild G, Murray J, Baxter G. Exploring civil drone accidents and incidents to help prevent potential air disasters. Aerospace 2016;3(3):22.

3

Ghasri M, Maghrebi M. Factors affecting unmanned aerial vehicles’ safety: a post-occurrence exploratory data analysis of drones’ accidents and incidents in Australia. Saf Sci 2021;139 105273.

4
81uav.cn. An Embraer 190 civil aviation was damaged due to a collision with a drone [internet]. [cited 2020 Sep 30]. Available from: https://www.81uav.cn/uav-news/201912/19/67736.html [Chinese].
5
81uav.cn. Uncontrolled drones cause Riga airport to close [internet].[cited 2020 Sep 30]. Available from: https://www.81uav.cn/uavnews/202005/06/70416.html [Chinese].
6
news.cctv.com. The drone is in trouble again! Three minutes after takeoff, the rotor pierced the left eye of the tourist [internet].[cited 2020 Sep 30]. Available from: http://news.cctv.com/2017/05/20/ARTIsBnkKAvL4hsebJPZIj0p170520.shtml [Chinese].
7
Liu H, Mohd HCM, Ng BF, et al. Airborne collision evaluation between drone and aircraft engine: Effects of position and posture on damage of fan blades. Reston: AIAA; 2020, Report No.:AIAA-2020-3214.
8
Schroeder K, Song YK, Horton B, et al. Investigation of UAS ingestion into high-bypass engines, Part 2: Parametric drone study. Reston: AIAA; 2017, Report No.:AIAA-2017-0187.
9

Lu XH, Liu XC, Li YL, et al. Simulations of airborne collisions between drones and an aircraft windshield. Aerosp Sci Technol 2020;98 105713.

10

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.

11
Rattanagraikanakorn B, Schuurman MJ, Gransden DI, et al. Modelling head injury due to unmanned aircraft systems collision: Crash dummy vs human body. Reston: AIAA; 2019, Report No.:AIAA-2019-2835.
12
Drumond TP, Greco M, Carlos A, et al.Evaluation of alternative materials in a wing fixed leading edge to support UAS impact. XL Ibero-Latin-American Congress on Computational Methods in Engineering; 2019.
13
Radi A. Potential damage assessment of a mid-air collision with a small UAV[dissertation]. Melbourne: Monash University; 2013.
14

Liu H, Che Man MH, Low KH. UAV airborne collision to manned aircraft engine: damage of fan blades and resultant thrust loss. Aerosp Sci Technol 2021;113 106645.

15
Liu H, Hasrizam Che Man M, Ng BF, et al. Airborne collision severity study on engine ingestion caused by harmless-categorized drones. Reston: AIAA; 2021, Report No.:AIAA-2021-1263.
16
Beh MW, Dhaker AS, Chow WT. Impact analysis of lightweight drones on business jet engine fan blades. Reston: AIAA; 2021, Report No.:AIAA-2021-3472.
17
Olivares G, Lacy T, Gomez L, et al. UAS airborne collision severity evaluation volume Ⅰ– Projectile and target definitions. Washington, D.C.: Federal Aviation Administration; 2017.
18
Olivares G, Gomez L, Zinzuwadia C, et al. UAS airborne collision severity evaluation volume Ⅱ – Quadcopter. Washington, D.C.: Federal Aviation Administration; 2017.
19
Olivares G, Lacy T, Gomez L, et al. UAS airborne collision severity evaluation – volume Ⅲ – Fixed wing. Washington, D.C.: Federal Aviation Administration; 2017.
20
Souza KD, Lyons T, Lacy T, et al. ASSURE Volume Ⅳ – UAS Airborne Collision Severity Evaluation – Engine Ingestion. Washington, D.C.: Federal Aviation Administration; 2017
21
ASSURE 2019 annual report.[Internet].[cited 2022 April 8];Available from: https://assureuas.org/wp-content/uploads/2021/06/ASSURE_2019AR.pdf.
22
Olivares G. ASSURE FAA UAS COE Task A3 UAS airborne collision hazard severity evaluation. Washington, D.C.: Federal Aviation Administration; 2017.
23
EASA. ‘Drone collision ’Task force[Internet].[cited 2022 April 8]; Available from: https://www.easa.europa.eu/sites/default/files/dfu/TF%20Drone%20Collision_Report%20for%20Publication%20%28005%29.pdf.
24
EASA. Vulnerability of manned aircraft to drone strikes. Internet].[cited 2022 April 8];Available from: https://www.easa.europa.eu/en/downloads/124757/en.
25
Dwivedi A, Bradley J, Casem D. Mechanical response of polycarbonate with strength model fits. 2012.Report No.: ADA 566369.
26

Zhou L, Wang ZH, Wen HM. A brief discussion on the accuracy of the jc constitutive model for metallic materials. Chinese J High Pressure Phys 2019;33(4):3–16.

27

Chen G, Chen XW, Chen ZF, et al. Simulations of A3 steel blunt projectiles impacting 45 steel plates. Explos Shock Waves 2007;27(5):390–7 [Chinese].

28

Huang J, Xu XW. Numerical simulations for perforation of aircraft thin plate structures. Ordnance Mater Sci Eng 2007;2:17–22 [Chinese].

29

Robbins JR, Ding JL, Gupta YM. Load spreading and penetration resistance of layered structures—a numerical study. Int J Impact Eng 2004;30(6):593–615.

30

Xu J, Wang LB, Liu BH. Review for mechanica integrity of Lithiumion battry. J Auto-motive Saey and Energy Saving 2017;8:15–29.

31

Sahraei E, Hill R, Wierzbicki T. Calibration and finite element simulation of pouch lithium-ion batteries for mechanical integrity. J Power Sources 2012;201:307–21.

32

Sahraei E, Meier J, Wierzbicki T. Characterizing and modeling mechanical properties and onset of short circuit for three types of lithium-ion pouch cells. J Power Sources 2014;247:503–16.

Chinese Journal of Aeronautics
Pages 286-298
Cite this article:
LIU J, CHEN C, YU J, et al. Unmanned aerial vehicle strike on a flat plate: Tests and numerical simulations. Chinese Journal of Aeronautics, 2023, 36(4): 286-298. https://doi.org/10.1016/j.cja.2023.02.018

40

Views

2

Crossref

2

Web of Science

2

Scopus

Altmetrics

Received: 10 April 2022
Revised: 20 June 2022
Accepted: 12 July 2022
Published: 15 February 2023
© 2023 Chinese Society of Aeronautics and Astronautics.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Return