Adaptive neural networks for model updating of structures dating services in butler pa
The algorithm was able to distinguish between the undamaged and damaged cases with satisfactory accuracy.  selected key spectral points near the resonance frequencies in the FRF data.
Using features extracted from the frequency response functions as inputs to the neural network, the authors were able to use the same network to detect and locate damage in three different experimental structures.This measure can be constructed in the time, frequency, or modal domains, and the latter two are the most broadly used.The idea of directly using the frequency response functions (FRFs) to train the neural networks has attracted many researchers.Department of Mechanical Engineering, University of Chile, Beauchef 850, 8370448 Santiago, Chile Received 21 April 2013; Accepted 2 September 2013; Published 12 February 2014Academic Editor: Gyuhae Park Copyright © 2014 V. The main problem in damage assessment is the determination of how to ascertain the presence, location, and severity of structural damage given the structure's dynamic characteristics. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.