04.1 - Material Issues, Fatigue and Damage Tolerance
FAILURE PROCESS IDENTIFICATION IN C/SIC SAMPLES WITH A RANGE OF TENSILE PERFORMANCE USING ACOUSTIC EMISSION
Y.Z. Zhang¹, X.Y. Tong¹, L.J. Yao¹, A.T. Augousti, Kingston University London, United Kingdom; ¹Northwestern Polytechnical University, China
An unsupervised clustering method based on the fusion of genetic algorithm and K-means algorithm is proposed to analyze the acoustic emission data collected during tensile test of 2D-C/SiC composites under room temperature. The damage evolution of 3 C/SiC samples is identified analyzed to explain their difference in mechanical performance, according to the pattern recognition results is analyzed.