Structural health monitoring (SHM) is a persistent field for continuous assessment of the integrity and performance of structures to ensure their trustworthiness along with safety. Within the domain of engineering structures, dynamic SHM has traditionally been fighting with some concerns. Overcoming these concerns, the advancement of smart materials in SHM has enabled intelligent systems to be involved, improving real-time structural inspection. In the last 2–3 decades, the application of piezoelectric lead zirconate titanate (PZT) sensors in dynamic SHM is fairly prevalent. In order to monitor the structures, it is necessary to integrate several PZT sensors and analyse the electro-mechanically coupled impedance signatures. For engineers, experimentally determining the SHM-based responses of systems with complex geometries has always been a difficult task. As an alternative solution, Finite element simulation techniques have been proved as a useful tool for the analysis of impedance signatures. This study includes the finite element program ANSYS to monitor a steel structural frame dynamically, utilizing multiple PZT sensors. Studies have been conducted on electro-mechanical admittance responses in relation to the frequency. The individual performance of evaluation of the frame using multiple piezoelectric sensors was examined. For the analysis of results, root mean square deviation (RMSD) quantification was used in this research.