Automated data-driven damage detection
Working Group: | AG Inverse Problems and Imaging |
Leadership: | Prof. Dr. Dirk Lorenz ((0421) 218-63982, E-Mail: d.lorenz@uni-bremen.de ) |
Processor: | Dr. Derick Nganyu Tanyu ((0421) 218-83812, E-Mail: nganyuta@uni-bremen.de) |
Funding: | DFG Forschungsgruppe 3022, Teilprojekt 4 |
Project partner: |
Universität Braunschweig, Universität Braunschweig Helmut-Schmidt Universität der Bundeswehr Universität Siegen |
Time period: | 01.10.2023 - 30.09.2026 |
Website: | https://www.tu-braunschweig.de/ima/research/forschungsgruppe-3022 |
The overall objective of the FOR 3022 is to gain a thorough understanding of an integrated structural
health monitoring (SHM) system in laminates with layers of large impedance difference using guided
ultrasonic waves (GUW) under real-world conditions. In this subproject we focus on automated damage
detection and merge the expertise from mathematics and computer science. As the basis for the automated methods serve mathematical
models built upon physical principles, mathematical tools to make the models computationally tractable
and machine learning methods. Consequently, WG Lorenz (working on physics-informed
neural networks (PINNs)) and WG Gräßle (working on model order reduction and data assimilation)
join WG Bosse (working on machine learning methods.