Numerical Study Dedicated to the Optimization of Parameters for Passive Integrated Health Monitoring of Plaques

The development of integrated health monitoring methods, commonly referred to as Structural Health Monitoring (SHM), has become a major trend in recent years. These methods enable autonomous and continuous inspection of structures during service. As part of a predictive maintenance framework, SHM allows for the early detection of potential failures, thereby reducing the need for periodic manual inspections. In this context, ambient noise naturally present in a structure can be leveraged to develop passive SHM systems. Specifically, our study utilizes the ambient noise correlation technique. The fundamental principle involves using sensors to detect vibrations generated by ambient noise and calculating the cross-correlation function. This function provides critical data regarding the structural integrity of the system. We propose a numerical study to optimize the number of sensors required for plate monitoring and to determine their optimal spatial distribution.