Abstract: The present disclosure discloses a method of identifying delamination damage of an arc-shaped composite laminate, and belongs to the technical field of delamination damage identification. According to the method, an elliptical loci method and a fitted normal PDF for damage imaging are probabilistically integrated under a Bayesian framework. A plurality of characteristics sensitive to damage can be reasonably fused, known prior information is combined with measured time of flight (ToF) data, and the posterior distribution of unknown parameters is sampled by using a Markov Chain Monte Carlo (MCMC) algorithm, so that the reliability of damage location is improved, and the applicability of Lamb waves in damage location of plate structures is enhanced. In addition, the present disclosure can accurately identify the delamination damage of the arc-shaped composite laminate by processing the measured time of flight (ToF), and the absolute positioning error is less than 1 cm.

Abstract: The present disclosure discloses a method of identifying delamination damage of an arc-shaped composite laminate, and belongs to the technical field of delamination damage identification. According to the method, an elliptical loci method and a fitted normal PDF for damage imaging are probabilistically integrated under a Bayesian framework. A plurality of characteristics sensitive to damage can be reasonably fused, known prior information is combined with measured time of flight (ToF) data, and the posterior distribution of unknown parameters is sampled by using a Markov Chain Monte Carlo (MCMC) algorithm, so that the reliability of damage location is improved, and the applicability of Lamb waves in damage location of plate structures is enhanced. In addition, the present disclosure can accurately identify the delamination damage of the arc-shaped composite laminate by processing the measured time of flight (ToF), and the absolute positioning error is less than 1 cm.