Application of Modal Analysis and Neural Networks in Detection of Damages in Structure and Parts ESCOLA POLITÉCNICA - USP

Format:

Conference/Event

Author/Creator:

Alves, Marcelo A. Leal, author.

Conference Name:

SAE Brasil '94 (1994-10-24 : Sao Paulo, Brazil)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1994

Summary:

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

Notes:

Vendor supplied data

Publisher Number:

942373

Access Restriction:

Restricted for use by site license