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L. Ziemianski, G. Piatkowski, "Use of Neural Networks for Damage Detection in Structural Elements using Wave Propagation", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 25-30, 2000. doi:10.4203/ccp.64.1.4

Abstract

This paper presents an application of Artificial Neural Networks (ANN) for damage detection in rod structures. The identification method has been based on the analysis of propagation of wave in solids. To simulate wave propagation in rod element the Finite Element Method (FEM) has been used. Direct integration method of a motion equation has been used to determinate time signal in several measurement points for different states describing changes in rod.

Then using calculated relationship, i.e. the correlation between an element time signal and parameters describing failure, the neural networks have been trained.

The assessed problem is of the Feature Identification type in which the force and response of a Mechanical Structure are given and the identification of feature is the expected result.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 64 COMPUTATIONAL ENGINEERING USING METAPHORS FROM NATURE Edited by: B.H.V. Topping Paper I.4 Use of Neural Networks for Damage Detection in Structural Elements using Wave Propagation L. Ziemianski and G. Piatkowski Department of Structural Mechanics, Rzeszow University of Technology, Rzeszow, Poland doi:10.4203/ccp.64.1.4 purchase the full-text of this paper Full Bibliographic Reference for this paper L. Ziemianski, G. Piatkowski, "Use of Neural Networks for Damage Detection in Structural Elements using Wave Propagation", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 25-30, 2000. doi:10.4203/ccp.64.1.4 Abstract This paper presents an application of Artificial Neural Networks (ANN) for damage detection in rod structures. The identification method has been based on the analysis of propagation of wave in solids. To simulate wave propagation in rod element the Finite Element Method (FEM) has been used. Direct integration method of a motion equation has been used to determinate time signal in several measurement points for different states describing changes in rod. Then using calculated relationship, i.e. the correlation between an element time signal and parameters describing failure, the neural networks have been trained. The assessed problem is of the Feature Identification type in which the force and response of a Mechanical Structure are given and the identification of feature is the expected result. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £52 +P&P)
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