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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.