Permanent Structural Health Monitoring of a new prestressed concrete bridge

Abstract The digitization of processes and methods has been in the focus construction industry recent years. Whereas automotive predictive maintenance is state art, prediction service lifetime for bridges not standardized due to missing sufficient data develop train machine learning algorithms. Structural Health Monitoring (SHM) used, e.g., monitor a local damage trend or structure's response external influence. Because typical SHM tasks, sensors are often built be attached temporarily structure removed afterwards. For maintenance, there demand from beginning lifetime. In this paper we show challenges solutions implement during like integration planning, geo‐localization sensors, durability obtain first day All these aspects shown practical example newly Isen bridge Schwindegg, Germany, where sensory SHM‐system installed measure bridge's condition starting one its results that with flexible installation team, does lead delay construction.