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Damage Detection of Beam by Using the Reduction Ratio of Natural Frequency and the Neural Network  

Ghoi, Hyuk (전북대학교 토목공학과 대학원)
Lee, Gyu-Won (전북대학교 토목공학과)
Publication Information
Journal of the Korea institute for structural maintenance and inspection / v.10, no.2, 2006 , pp. 153-165 More about this Journal
Abstract
A damage in a structure changes its dynamic characteristics such as natural frequencies, damping ratios, and the mode shapes. In this paper the effort has been spent in obtaining the characteristics of the reduction ratio in natural frequencies and the damage detection is performed using the reduction ratios. Most of the emphasis has been on using the artificial neural network to determine the location and the extent of the damage as well as the existence of the damage. The data for learning and verifying neural network were obtained from the analytical analysis. The data have no errors. Considering the real measurements the data including errors which are difference this study between other studies also were used for neural network. The position and extent of the damage can be detected using the neural network trained by reduction ratios of natural frequencies.
Keywords
Natural Frequencies; Damping Ratios; Mode Shapes; Damage Detection; Artificial Neural Network;
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