Chao Zhou

TL;DR: In this article, a hybrid approach for characterizing fatigue damage was developed, using two genres of damage indices constructed based on the linear and the nonlinear features of acousto-ultrasonic waves.

TL;DR: In this article, a damage characterization approach, in conjunction with the use of an active piezoelectric sensor network, was established, capable of evaluating fatigue cracks in a quantitative manner, including the copresence of multiple fatigue cracks, and their individual locations and severities.

TL;DR: A Lamb-wave-based imaging approach with the capacity to visually pinpoint structural damage, if any, in terms of the probability of damage occurrence at all spatial positions of the structure under inspection is developed.

TL;DR: In this article, a probability-based diagnostic imaging (PDI) approach was developed to identify representative damage scenarios including L-shape through-thickness crack (orientation-specific damage), polygonal damage (multi-edge damage) and multi-damage in structural plates.

TL;DR: In this paper, the influence of damage orientation on Lamb wave propagation was quantitatively scrutinised based on the established correlation between damage parameters (location, orientation, shape and size) and extracted signal features, in conjunction with use of an active sensor network in conformity to a pulse-echo configuration.