ISSN: 1945-7553
CODEN: JTEVAB
Published Online: 16 October 2007
Page Count: 6

Determination of Material Properties of Functionally Graded Plate Using the Dispersion of Guided Waves and an Artificial Neural Network

Jiangong, Yu
College of Mechanical Engineering and Applied Electronic Technology, Beijing University of Technology, Beijing,

Bin, Wu
College of Mechanical Engineering and Applied Electronic Technology, Beijing University of Technology, Beijing,

Cunfu, He
College of Mechanical Engineering and Applied Electronic Technology, Beijing University of Technology, Beijing,

(Received 11 April 2006; accepted 14 March 2007)

Abstract

Using guided wave dispersion characteristics, an inverse method based on artificial neural network (ANN) is presented to determine the material properties of functionally graded materials (FGM) plates. The group velocities of several lowest modes at several lower frequencies are used as the inputs of the ANN model; the outputs of the ANN are the distribution function of the volume fraction of the FGM plate. The Legendre polynomials method is used to calculate the dispersion curves for the FGM plate. Levenberg-Marquardt algorithm is used as numerical optimization to speed up the training process of the ANN model.

Keywords:
material properties, functionally graded materials, guided waves, neural network, dispersion

Paper ID: JTE100587
DOI: 10.1520/JTE100587
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