Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

Hydroacoustic field in sonar cavity under mechanical excitations

Authors
Weike Wang, Rui Huo, Zhidong Wang
Corresponding Author
Weike Wang
Available Online July 2017.
DOI
10.2991/icadme-16.2016.57How to use a DOI?
Keywords
Sonar cavity, mechanical self-noise, fluid-structure interaction, hydroacoustic field.
Abstract

In view of the destructive influence of mechanical self-noise on sonar's detection capability at lower frequencies, a parametric model composed of panels and a water filled rectangular cavity is established for investigation of characteristics of hydroacoustic field caused by mechanical excitation loaded on sonar platform area. The analytical derivation and numerical simulation analysis of differential vibration equations provide theoretical reference for prediction and control of mechanical self-noise.

Copyright
© 2016, 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 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-249-7
ISSN
2352-5401
DOI
10.2991/icadme-16.2016.57How to use a DOI?
Copyright
© 2016, 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  - Weike Wang
AU  - Rui Huo
AU  - Zhidong Wang
PY  - 2017/07
DA  - 2017/07
TI  - Hydroacoustic field in sonar cavity under mechanical excitations
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 355
EP  - 358
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.57
DO  - 10.2991/icadme-16.2016.57
ID  - Wang2017/07
ER  -