FailuRe detection, identification and prognosis in Composite and Additive manufactured Structures

Complex structures such as layered composites and additive manufactured tessellations are rapidly finding industrial applications, mainly due to the need for lightweight products. In order for the EU to remain a leader in these industrial fields, novel technologies for more efficient and robust maintenance planning of these high-value structures are crucial. Guided wave-based inspection has been substantiated as the most robust monitoring method to be employed for such structures. There is currently a pressing need for including rich physical information regarding wave interactions with a range of structural damage modes, in order to enhance the diagnostic and prognostic capabilities of modern monitoring frameworks. This start-up Grant will deliver the first efficient scheme for damage diagnosis and prognosis through linear and nonlinear computational ultrasound. The full wave/damage interaction physics will be captured through novel fusions of wave and FE schemes and the wave dispersion and scattering will be computed at minimum computational cost. On the front of prognostics, we will deliver a novel Bayesian regression based filter, enriched with fully physical information.

Keywords:Structural Health Monitoring, Ultrasound and Vibration, Composites

Disciplines:Numerical modelling and design, Smart lightweight structures, Dynamics, vibration and vibration control, Continuum mechanics, Sensing, estimation and actuating, Software and data acquisition, Metamaterials