The inverse of material properties of Functionally Graded plates based on the guided waves

Author

Yu, Jian-gong ; Ma, Wei-qiang

Author_Institution

Sch. of Mech. & Power Eng., Henan Polytech. Univ., Jiaozuo, China

fYear

2010

fDate

10-13 Dec. 2010

Firstpage

436

Lastpage

440

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.

Keywords

Legendre polynomials; elastic waves; elasticity; functionally graded materials; neural nets; plates (structures); silicon compounds; stainless steel; Legendre polynomials method; SiN; dispersion curve; distribution function; elastic properties; functionally graded material plates; guided wave characteristics; inverse method; material properties; neural network; numerical simulation; silicon nitride; stainless steel; Artificial neural networks; Dispersion; Distribution functions; Material properties; Silicon; Training; Material properties; dispersion; functionally graded materials; guided waves; neural network; plate;

fLanguage

English

Publisher

ieee

Conference_Titel

Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA), 2010 Symposium on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-9822-2

Type

conf

DOI

10.1109/SPAWDA.2010.5744351

Filename

5744351