Probabilistic Approach for Electromechanical Impedance-Based SHM Models

Applying structural health monitoring techniques has become very important in engineering and aeronautics. The technique based on electromechanical impedance is one of them. In this work, the electromechanical impedance-based SHM technique is applied to determine the existence of damage in an aluminum beam using the Root Square Deviation (RMSD) damage metric. Furthermore, this contribution aims to apply the concept of stochastic evaluation in the context of the electromechanical impedance-based SHM technique by using the Monte Carlo method to generate random numbers. The development of the work is to validate two models, one with the impedance signals and the other stochastically, and thus build the linear regression model for both. In the end, the results are compared to test the representation of the failure identification in the beam.