Volume IV – UAS Airborne Collision Severity Evaluation – Engine Ingestion
Unmanned aerial vehicles (UAVs) are becoming more abundant, and the risk of a UAV-airplane collision is growing with their popularity. Airplane collisions with birds and ice have been researched for several decades, however those impacts are not representative of an airplane with a UAV. UAVs contain materials which are harder and denser than birds. Here simulations of a UAV ingestion into a jet engine are studied with the commercially available software LS-DYNA. Parametric study models of fan stages of mid-sized business jets housed in a containment tank were used for the ingestion simulations. Collaborating research groups created the two finite element UAV models that were used in this study. The collaborating research groups simulated and compared their finite element models of key UAV components against experimental crash tests to ensure UAV component model accuracy. This computational research shows that UAVs are capable of causing severe damage to jet engines, and lays the foundation for further computational and experimental studies of ingestion events.
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- Summary URL:
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Corporate Authors:
Ohio State University, Columbus
Gas Turbine Laboratory
Columbus, OH United StatesMississippi State University, Mississippi State
Department of Aerospace Engineering
Mississippi State, MS United States 39762Federal Aviation Administration
Office of Aviation Research
800 Independence Avenue, SW
Washington, DC United States 20591 -
Authors:
- D'Souza, Kiran
- Lyons, Troy
- Lacy, Thomas
- Kota, Kalyan Raj
- Publication Date: 2017-8
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Figures; Photos; References; Tables;
- Pagination: 76p
Subject/Index Terms
- TRT Terms: Air transportation crashes; Civil aircraft; Crash severity; Crash tests; Drones; Evaluation and assessment; Finite element method; Jet engines; Simulation
- Subject Areas: Aviation; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01653384
- Record Type: Publication
- Files: TRIS, ATRI, USDOT
- Created Date: Dec 12 2017 5:13PM