| Περίληψη: | The main purpose of the present work is to develop an innovative system for Structural Health Monitoring (SHM) of aerospace composite structures based on dynamic strain measurements in order to identify in an exhaustive way the structural state condition. Fiber Bragg Grating (FBG) optical sensors will be used for the recording of dynamic strain measurements from a composite structure.
The methodology that will be developed for structural damage detection will use the collected dynamic response data and will analyze them through a statistical data-driven learning model, i.e. an artificial neural network, coupled with wavelet multi-resolution analysis. This methodology will be the core of the SHM system.
Structural damage will be initially simulated by slightly varying the mass properties of the structure. As a second step, actual damage was introduced to the structure. The structural dynamic behavior has been numerically simulated and experimentally verified by means of vibration testing. The analysis of operational dynamic responses will be employed to identify both the damage and its position.
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