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Open AccessJournal ArticleDOI

Active control of turbulent boundary layer-induced sound transmission through the cavity-backed double panels

TLDR
In this article, the authors present a theoretical study of active control of turbulent boundary layer TBL induced sound transmission through the cavity-backed double panels, where a feedback control unit is located inside the acoustic cavity between the two panels.
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This article is published in Journal of Sound and Vibration.The article was published on 2018-05-26 and is currently open access. It has received 22 citations till now. The article focuses on the topics: Sound transmission class & Sound pressure.

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Citations
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A coupled FE-RRM-based numerical model for analysis of energy transmission loss through stiffened double-wall panel due to TBL excitation

TL;DR: In this paper , a fully coupled numerical model was proposed to predict energy transmission through a turbulent boundary layer (TBL) excited stiffened double-leaf flexible aircraft panel using a finite element (FE) framework.
Journal ArticleDOI

Acoustic optimization design of porous materials on sandwich panel under flow-induced vibration

TL;DR: In this paper , the effects of flow velocity, thickness and density of the porous material, and three types of polyimide foam on the transmission loss characteristics of the sandwich panel were investigated.
References
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Journal ArticleDOI

Vibration Control Using Semi-Active Force Generators

TL;DR: A type of force generator which can respond to general feedback signals from a vibrating system in order to control the vibration but which does not require the power supply of a servomechanism is described.
Book

An Introduction to Random Vibrations, Spectral and Wavelet Analysis

David Newland
TL;DR: In this paper, the authors introduce the idea of joint probability distributions and average for linear systems and their response to random vibrational signals. But they do not discuss the relationship between these distributions and the average.
Journal ArticleDOI

A multiple error LMS algorithm and its application to the active control of sound and vibration

TL;DR: An algorithm is presented to adapt the coefficients of an array of FIR filters, whose outputs are linearly coupled to another array of error detection points, so that the sum of all the mean square error signals is minimized.
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