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Structural Health Monitoring addresses the need to monitor technical and load carrying structures in order to prevent catastrophic failures. One promising approach is to use ultrasonic guided waves. In this application piezoceramic patches are permanently attached to the structure in a distributed sensor network. By means of a voltage signal and the inverse piezoelectric effect, ultrasonic waves start to propagate across the structure and interact with possible damages. The reflections are automatically evaluated by the computer, in order to decide whether damage is present or not.
The main topics of the PhD-Thesis are the following: - Damage Localization in generally anisotropic plates
- Extraction of optimal excitation parameters
- Evaluation of the temperature effect with respect to damage detection and localization
- Tomographic approaches for damage visualization
- Hardware Design for automatic data acquisition
- Development of innovative signal processing algorithms (time-varying inverse filter, Autofocus algorithm for damage visualization, precise strategies to estimate the onset-time, data fusion schemes, design of experiments etc.)
The project is sponsored by a scholarship of the Stiftung der Deutschen Wirtschaft: www.sdw.org www.sdw-siegen.de |
