Abstract
Using guided wave characteristics of dispersion and multi-mode, an inverse method based on neural network (NN) 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 NN model; the outputs of the NN 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. Through numerical simulation, the inversion work is carried out very easily and a satisfying result is obtained.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
