environment noise prediction codeaantc.ust.hk/team/poster_bianhaoyu/bian and ryu.pdf · it....
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Project supervisor and contact
Zhang, Xin ([email protected] )
Swire Professor of Aerospace Engineering, Chair Professor
Department of Mechanical and Aerospace Engineering
Aerodynamics Acoustics &
Noise Control Technology Centre
aantc.ust.hk
Environment Noise Prediction Code
Haoyu Bian and Ryu Fattah
Background
Drone noise has arisen more and more attention for its fastgrowing number and wider application, which can cause annoyanceand psychological problem to those who are usually exposed underit. Therefore, the effect of drone noise on the community should beevaluated and analyzed for a better regulation, requiring a reliableprediction for the noise distribution in the city.
Aim
Develop a fast and relatively accurate prediction code to assess thenoise-pollution by UAVs flying in close proximity to buildings
Schematic of scenario
Method
Due to its high efficiency and good accuracy, ray-tracing is usedfor computing the sound propagation path. For the energy part,gaussian beam method is applied based on the result of ray-tracing to obtain the SPL distribution.
2-D ray tracing
Preliminary results
Using monopole source to verify the results for homogeneousmedia and linear sound speed profile.
Monopole verification case
monopole
SPL map on the ground for monopole
3-D ray-tracing and SPL map above the building surface