This dataset has been collected during an experimental campaign run within the H2020 – MORPHO project on a Foreign Object Damage(FOD) panel, which is a representative substructure of a LEAP engine fan blade. This FOD panel is manufactured from a 3D-woven composite, has a steel leading edge on one side, and measures approximately 800 mm and 350 mm in length and width, respectively. This FOD panel is additionally curved with varying cross-sectional thickness along its width.

In terms of transducers, this FOD panel is equipped with newly developed screen printed piezoelectric transducers  (PZTs) and optical Fiber Bragg Grating strain sensors (FBGs). Printed PZTs are positioned in five arrays (four close to the corners and one at the centre) with five printed PZTs each. Four standard ceramic PZTs are also bonded to the panel. Two optical fibres with each eight FBGs each are also adhesively bonded at the bottom side of the panel. After one impact damage, the FOD panel is subjected to fatigue multi-cycles 4-point bending tests with increased load severity until failure of the panel. The FBGs are used to continuously measure the strains during the bending tests. Ultrasonic guided wave measurements are performed periodically on the FOD panel using PZTs in order to acquire data at various stages of degradation of the panel between the healthy and failed states. The four standard PZTs are used to excite tone burst signals at 50, 100, 150, 200, and 250 kHz individually and all the standard and printed PZTs are used to acquire the signals. Ultrasonic measurements are repeated ten times for each actuator and excitation frequency. The load-displacement data from the bending tests (as measured by the hydraulic machine) are also measured. This dataset additionally contains the impact response of the FOD panel as measured by the PZTs and the electromechanical impedances of the printed PZTs measured before and after failure.

This dataset thus offers unique insight into i) ultrasonic guided wave propagation into curved and varying thickness composite structures, ii) the use of innovative screen printed PZTs for SHM purposes, iii) the complementarity between FBGs and PZTs for SHM purposes and finally iv) it can be used as a training dataset and a benchmark for prognosis algorithms.