Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact
As Unmanned Aerial Vehicle (UAV) accidents were reported frequently, aviation authorities around the world carried out rules on managing the UAV operation. The understanding of the relationship among UAV weight, flying speed and height is of great interest to the authorities for their safety assessm...
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sg-ntu-dr.10356-732192023-03-11T18:00:19Z Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact Li, Xin Low Kin Huat School of Mechanical and Aerospace Engineering Civil Aviation Authority of Singapore Air Traffic Management Research Institute DRNTU::Engineering::Aeronautical engineering As Unmanned Aerial Vehicle (UAV) accidents were reported frequently, aviation authorities around the world carried out rules on managing the UAV operation. The understanding of the relationship among UAV weight, flying speed and height is of great interest to the authorities for their safety assessments. Therefore, this research is aimed at developing a simulation method to study the relation of UAV weight and drop height with human injury levels. A mathematical model was proposed in this research to estimate the potential human injury level in UAV-human head impact. The results of the simulation were compared and validated with UAV-dummy head crash results and other traditional computer-aided simulation methods. They are compared in terms of speed and performance in accuracy. The prediction of the model compares well with the measured results obtained from the UAV-dummy head contact process and the potential head injury level for different UAV crash. The model enables a reduction in the number of measurement of drop tests and thus time-saving, and yet produced prediction with relatively good accuracy. Master of Engineering (MAE) 2018-01-24T02:05:02Z 2018-01-24T02:05:02Z 2018 Thesis Li, X. (2018). Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact. Master's thesis, Nanyang Technological University, Singapore. http://hdl.handle.net/10356/73219 10.32657/10356/73219 en 93 p. application/pdf |
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DRNTU::Engineering::Aeronautical engineering Li, Xin Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact |
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As Unmanned Aerial Vehicle (UAV) accidents were reported frequently, aviation authorities around the world carried out rules on managing the UAV operation. The understanding of the relationship among UAV weight, flying speed and height is of great interest to the authorities for their safety assessments. Therefore, this research is aimed at developing a simulation method to study the relation of UAV weight and drop height with human injury levels. A mathematical model was proposed in this research to estimate the potential human injury level in UAV-human head impact. The results of the simulation were compared and validated with UAV-dummy head crash results and other traditional computer-aided simulation methods. They are compared in terms of speed and performance in accuracy. The prediction of the model compares well with the measured results obtained from the UAV-dummy head contact process and the potential head injury level for different UAV crash. The model enables a reduction in the number of measurement of drop tests and thus time-saving, and yet produced prediction with relatively good accuracy. |
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Low Kin Huat |
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Low Kin Huat Li, Xin |
format |
Theses and Dissertations |
author |
Li, Xin |
author_sort |
Li, Xin |
title |
Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact |
title_short |
Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact |
title_full |
Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact |
title_fullStr |
Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact |
title_full_unstemmed |
Mathematical modelling of human injury levels due to unmanned aerial vehicle (UAV) impact |
title_sort |
mathematical modelling of human injury levels due to unmanned aerial vehicle (uav) impact |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/73219 |
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1761781270503751680 |