The Approximate Location of Damage through the Analysis of Natural Frequencies with Artificial Neural Networks
1995 ◽
Vol 209
(2)
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pp. 117-123
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Keyword(s):
An effective and reliable damage assessment methodology is a valuable tool for the timely determination of damage and the deterioration stage of structural members as well as for non-destructive testing (NDT). In this work artificial neural networks are used to identify the approximate location of damage through the analysis of changes in the natural frequencies. At first, a methodology for the use of artificial neural networks for this purpose is described. Different ways of pre-processing the data are discussed. The proposed approach is illustrated through the simulation of a free-free beam with a crack whose natural frequencies were obtained experimentally.
2007 ◽
Vol 49
(8)
◽
pp. 465-470
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2008 ◽
Vol 47
(1)
◽
pp. 21-25
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Keyword(s):
2002 ◽
Vol 252
(4)
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pp. 782-789
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2007 ◽
Vol 66
(4-5)
◽
pp. 1327-1332
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Keyword(s):
2005 ◽
Vol 37
(3)
◽
pp. 543-549
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Keyword(s):