Paper
6 June 1997 Study of shell interior noise control
Wenjun Shen, Jian Q. Sun
Author Affiliations +
Abstract
There is a growing interest in the application of smart materials technology to the aircraft interior noise control problem. Some outstanding issues with the interior noise control problem include development of sensory systems that can lead to global sound level reduction in the cabin, and the safety concern of structural actuators used to reduce noise radiation. This paper presents two comparative studies: (1) comparison of several sensor configurations by using acoustic microphones, and (2) comparison of strain fields induced by discrete and distributed structural actuators. A uniform cylindrical shell is used as a simplified model of a section of fuselage. Extensive simulations have been conducted. Major findings of this paper are: (1) In order to control the interior noise in the shell where there is no acoustic source inside, one only needs to place acoustic sensors near the wall. Furthermore, if one uses the energy density as an error signal, one can reduce the number of error input channels substantially. In terms of the ability to lead to the global noise reduction, a 4-channel energy density sensor is found to be comparable to 32 microphones uniformly spaced on a ring. (2) Distributed piezoelectric actuators tend to introduce smoother strain fields on the shell than discrete actuators as measured by a strain index defined in the paper. This quantitative result agrees with one's intuition. Simulation results of adaptive control of multi-tone noise field using discrete and distributed structural actuators are also presented in the paper.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wenjun Shen and Jian Q. Sun "Study of shell interior noise control", Proc. SPIE 3041, Smart Structures and Materials 1997: Smart Structures and Integrated Systems, (6 June 1997); https://doi.org/10.1117/12.275705
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Sensors

Actuators

Acoustics

Denoising

Safety

Control systems

Adaptive control

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