Vibration isolation in a thin rectangular plate using a large number of optimally positioned point masses
Vibration isolation in a thin rectangular plate using a large number of optimally positioned point masses
A new approach is presented for dealing with the problem of vibration control in a plate over a moderately wide frequency band. The band of interest does not contain the first few eigenvalues, nor is it restricted to very high frequencies, but typically contains five or six eigenfrequencies in the 10's of eigennumber. The idea is to make minor modifications to the structure which are sufficient to change its frequency response so that the transmission of vibrations in a given frequency band is suppressed. This work is illustrated by application to a rectangular plate which carries 50 identical point masses in variable positions. A novel method for selecting optimal mass position is demonstrated and compared with the results for mass positions determined by a Genetic Algorithm (G.A.).
219-234
McMillan, A.J.
984c4f65-65bf-41af-a114-3762c4a3713b
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
1997
McMillan, A.J.
984c4f65-65bf-41af-a114-3762c4a3713b
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
McMillan, A.J. and Keane, A.J.
(1997)
Vibration isolation in a thin rectangular plate using a large number of optimally positioned point masses.
Journal of Sound and Vibration, 202 (2), .
(doi:10.1006/jsvi.1996.0861).
Abstract
A new approach is presented for dealing with the problem of vibration control in a plate over a moderately wide frequency band. The band of interest does not contain the first few eigenvalues, nor is it restricted to very high frequencies, but typically contains five or six eigenfrequencies in the 10's of eigennumber. The idea is to make minor modifications to the structure which are sufficient to change its frequency response so that the transmission of vibrations in a given frequency band is suppressed. This work is illustrated by application to a rectangular plate which carries 50 identical point masses in variable positions. A novel method for selecting optimal mass position is demonstrated and compared with the results for mass positions determined by a Genetic Algorithm (G.A.).
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Published date: 1997
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Local EPrints ID: 21082
URI: http://eprints.soton.ac.uk/id/eprint/21082
ISSN: 0022-460X
PURE UUID: 817a3e06-3837-46c1-a47c-dd9355a0796e
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Date deposited: 31 Oct 2006
Last modified: 16 Mar 2024 02:53
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Author:
A.J. McMillan
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