A joint work with the colleagues from the DFG scientific network (Link) has been accepted for publication in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (Lead: Dr. Kilian Tschöke, Fraunhofer IKTS, Dresden).
In many industrial sectors, Structural Health Monitoring (SHM) is considered as an addition to the classical nondestructive testing that can reduce maintenance effort during lifetime of a technical facility, structural component or vehicle. A large number of SHM methods is based on ultrasonic waves, which properties change depending on structural health. However, the wide application of SHM systems is limited due to the lack of suitable methods to assess their reliability. The evaluation of the system performance usually refers to the determination of the Probability of Detection (POD) of the test procedure. Up to now, only few limited methods exist to evaluate the POD of SHM systems, which prevent them from being standardised and by that widely accepted in the industry. The biggest challenge to take when calculating the POD is the need of a huge amount of samples having the same material properties, which can be damaged at many different locations with various severity. All of this is connected to high costs. Therefore, one possible way to tackle this problem is to perform computer-aided investigations. In this work, the POD assessment procedure established for nondestructive testing according to the Berens model is adapted to guided wave-based SHM systems. The alternative approach implemented here is based on solely computer-aided investigations. After a reliable modelling of wave propagation phenomena across an automotive component made from composite material, the POD curves are extracted. Finally, the novel concept of a POD map is introduced to look into the effect of damage position on system reliability.
Tschoeke, K.; Mueller, I.; Memmolo, V.; Moix-Bonet, M.; Moll, J.; Lugovtsova, Y.; Golub, M.; Venkat, R. & Schubert, L., Model-assisted Probability of Detection studies of Structural Health Monitoring systems based on guided waves for fibre-reinforced composites, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (accepted in May 2021), 2021
Download (open access): https://ieeexplore.ieee.org/document/9444358