Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

Simulation Study on Directional Dispersion of Strong Noise

Authors
Xu-dan Dong
Corresponding Author
Xu-dan Dong
Available Online July 2019.
DOI
10.2991/masta-19.2019.27How to use a DOI?
Keywords
Strong noise, Transducer, Planar array, Directivity
Abstract

In dealing with emergencies, strong noise can effectively disperse the unruly crowd gathered illegally. Matlab was used to select different ultrasonic frequencies and individual transducer diameters, respectively, to carry out directional simulation of noise propagation, comparative analysis, to determine the selection of ideal ultrasonic frequency and transducer size. The directional image simulations of noise dispersal were carried out by selecting different array spacing of the transducer planar array. The noise dispersing sound pressure level was calculated to verify the noise dispersing efficiency. The determined optimal combination is ultrasonic wave with frequency f=40kHz, and the directional dispersing module selects a 4×4 array with diameter D=51mm and spacing d1=d2=1.2D=61.2mm.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
Series
Advances in Intelligent Systems Research
Publication Date
July 2019
ISBN
978-94-6252-761-4
ISSN
1951-6851
DOI
10.2991/masta-19.2019.27How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xu-dan Dong
PY  - 2019/07
DA  - 2019/07
TI  - Simulation Study on Directional Dispersion of Strong Noise
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 161
EP  - 166
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.27
DO  - 10.2991/masta-19.2019.27
ID  - Dong2019/07
ER  -