Application of Modal Analysis and Neural Networks in Detection of Damages in Structure and Parts

Paper #:
  • 942373

Published:
  • 1994-11-01
Citation:
Alves, M. and Kaminski, P., "Application of Modal Analysis and Neural Networks in Detection of Damages in Structure and Parts," SAE Technical Paper 942373, 1994, https://doi.org/10.4271/942373.
Pages:
10
Abstract:
The use of modal analysis and neural networks is proposed to detect damages in parts and structures. Comparing the natural frequencies of a test structure with the ones of a non-damaged structure, a neural net, using its capabilities in recognize standards, can deliver the location and extension of the probable damages.Two examples are presented. At the first one, a notch is located on a free-free beam. The second example deals with a truss-like tower where the damage is a loss of stiffness in some structural members.The results obtained point as very promising the use of neural network as computational tool in nondestructive testing.
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