Identification of interface fracture parameters of fiber-reinforced composite by using Kalman filter technology

The fiber reinforced composite has the advantages of low density, high strength and stiffness, high fatigue resistance, high abrasion and corrosion resistance, good molding and high temperature resistance, which makes it as the brightest material applied in the aerospace and aviation field. In this paper, Kalman filter technology which originally came from the field of signal control is introduced as an inverse analysis to identify the interface parameters of composites. By performing detailed FEM simulation and using the experimental data of the force and displacement curve of the fiber pull-out test, the Kalman filter recursive process is successfully carried out to identify the values of the shear strength and the fracture energy G for the SiC(SCS-6)/Ti material interface. The great advantage of this inverse technology is that the influence of experimental noise can be taken into account. The calculation results show that the rate of convergence to the correct solution depends on the number and the initial estimation of unknown parameters to be identified and the accuracy of the measured data. Our analysis demonstrates that the proposed approach is suitable and capable in the identification of material parameters of the composite interface.