Material parameter inversion method based on AE detection and global matrix

Elastic parameters are characteristic parameters that describe the elastic deformation of materials under external forces, and determining these parameters is of great significance in material design, manufacturing, and application. For example, they can be used to identify the health status and safe service life of in-service structural components, and provide a basis for predicting operation and maintenance. In this paper, a material parameter calculation method based on acoustic emission detection technology is proposed. This method obtains the measurement signal through active excitation and extracts the dispersion characteristics of multi-layer plate structures by combining methods such as spectral decomposition and envelope estimation. The corresponding relationship between dispersion characteristics and elastic parameters is obtained through the global matrix in theory, and the material parameters are inverted through the design of the objective function. Compared with traditional experimental methods, this method only requires two sensors to receive acoustic emission signals, which reduces the difficulty and cost of the experiment, and the design of the objective function is optimized to achieve accurate calculation of elastic parameters. The effectiveness of the proposed method is verified by using a three-layer plate as the experimental object, with the inversion error of each layer’s Young’s modulus controlled within 1% and the inversion error of Poisson’s ratio kept within 5%.