Ambient vibration data for SHM of historic structures

Structural health monitoring (SHM) based on ambient vibration sources is suitable for historic buildings due to its rapid, non-invasive and reliable approach. It is a consolidated methodology for testing construction and a good alternative in Life Cycle Assessment (LCA), for estimating structural behavior over time. This research shows the effectiveness of ambient vibration data in assessing the structural health monitoring of heritage. By analyzing this data, changes indicating damage or deterioration can be detected, enabling continuous monitoring without extensive and invasive physical tests. The research includes case studies of historic masonry arch bridges in Venice (Italy), showcasing the practical applications of ambient vibration monitoring. Results indicate that this method can accurately identify structural issues and provide early warnings. Furthermore, this data helps in the calibration and validation of numerical models, enhancing structural assessments accuracy, and potential application for Machine Learning. The findings emphasize the importance of vibration-based monitoring techniques to ensure the longevity and safety of historic structures and contribute to the preservation of cultural heritage.