System identification and monitoring of bridge structures

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The research presented is part of the SPP100+ of the German Research Foundation. Subject of the research is the early detection of damage, especially on large bridge structures. For this purpose, investigations are carried out at the technical center of the I4S, in particular to take into account the environmental conditions (EOC) in the context of system identification of mechanical structures. The lifetime of the considered structures is divided into macro and micro time domains. In the micro time domain, state space models serve as a basis for damage localization. The parameters of the models are estimated based on output-only methods and H2/H∞ optimization. The damage localization is done by SP2E, the state projection estimation error method in conjunction with a machine learning method, for the categorization of the EOC. This paper presents the monitoring method in micro time domain of lifetime and first results of experimental investigation and vibration-based output-only measurements at the bridge Floßgrabenbrücke.