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

    Volume 36, Issue 1 (January 2008)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Published Online: 16 October 2007

    Page Count: 6


    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.


    Paper ID: JTE100587

    DOI: 10.1520/JTE100587

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    Author
    Title Determination of Material Properties of Functionally Graded Plate Using the Dispersion of Guided Waves and an Artificial Neural Network
    Symposium , 0000-00-00
    Committee A01