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UAS Ground Collision Severity Evaluation

PI Feng Zhu

Increased use of UAS requires an in-depth understanding of the hazard severity and likelihood of UAS operations in the NAS. Due to their distinct characteristics (e.g. size, weight and shape) with manned aircraft systems, UAS operations may pose unique hazards to other aircraft and people on the ground. 

Up to date, the studies on the UAS ground collision are still very much limited, particularly the scenario of impact between UAS and human body on the ground. Therefore, it is necessary to determine lethality thresholds for UAS using characteristic factors that affect the potential lethality of UAS in collisions with other objects, particularly human body on the ground. The objectives of this study are (1) to analyze the response and failure behavior of several typical UASs impact with human body on the ground; and (2) establish the damage threshold of UAS and its correlation with the key parameters in the crash accidents (e.g. shape, size and materials of UAS; impact energy and impulse etc.). To achieve this goal, advanced computational modeling techniques (e.g. finite element method/FEM) will be used to simulate the typical UAS/people impact scenarios.Based on the results, a design guidance can be further suggested to improve the crashworthiness of UAS and safety of personnel on the ground.

Conventional 14 CFR system safety analyses include hazards to flight crew and occupants may not be applicable to unmanned aircraft.  It is necessary to determine the dedicated hazard severity thresholds for UAS and identify the key factors that affect the potential severity of UAS in collisions with other aircraft on the ground or in airborne encounters as well as collisions with people on the ground.  These severity thresholds will help determine acceptable corresponding system failure levels in accordance with the applicable 14 CFR requirements (for example 14 CFR 23.1309 and 14 CFR 25.1309). 

Researchers

  • Eduardo Divo

    Eduardo Divo

    Department
    Mechanical Engineering Department
    Degrees
    Ph.D., M.S., University of Central Florida
  • Victor Huayamave

    Victor Huayamave

    Department
    Mechanical Engineering Department
    Degrees
    Ph.D., M.S., B.S., University of Central Florida

Tags: ASSURE NEAR laboratory electrical and computer engineering unmanned and autonomous systems mechanical engineering

Categories: Faculty-Staff