The Challenges of long‐time high‐sampled Structural Health Monitoring: a practical Feedback

Abstract

AbstractStructural Health Monitoring (SHM) systems have been widely used in the last years as integrated tools for the management of civil infrastructures. Some SHM projects now reach significant durations of several years, which induces interesting challenges when they imply numerous sensors with high sampling rates. This paper aims to present feedback on a few real cases of long time SHM on civil structures, performed by OSMOS Group as a SHM service provider. The examples include various types of structures, with concrete, masonry, and metallic bridges as well as tunnels, and address the cases of both wired and wireless autonomous SHM systems, some of them with more than ten years of operation. Issues related to the data flow and storage are described, which represent high volumes of data, since the SHM systems are aimed to assess continuously the dynamic response of the structures with 100 measurements every second. Maintenance and upgrading of the SHM systems along such important durations are addressed also. Finally, the discussion focuses on massive data analysis tools dedicated to long‐time SHM, which enable to reduce the amount of raw data into useful synthetic information for anomaly detection and prognosis.