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Gradient enhanced damage sizing for structural health management

A gradient enhanced method is proposed to extract a probability distribution of damage size based on damage images from structural health monitoring. The method provides comprehensive information about damage size and enables prediction of remaining useful life (RUL) of aircraft plate-like structures. A three-step procedure is designed to construct a likelihood function about damage size from intensity image, and a gradient function is employed a priori to obtain a narrow distribution of damage size in the Bayesian framework, providing the empirical probability density function of damage size, from which the probability of damage size larger than critical crack size can be calculated. RUL of plate-like structures can be obtained by calculating the cycles after which the crack size would reach a critical value by a damage growth model. The proposed method converts an ultrasonic damage imaging result to probability density function of damage size, with potential to provide accurate and precise estimation of RUL.