Health monitoring of Metsovo bridge using ambient vibrations
A real-time online structural health monitoring system for the Metsovo bridge, the highest R/C bridge of the Egnatia Odos Motorway in Greece, is outlined and then used to develop high fidelity dynamic finite element models for the bridge-foundation-soil system. Operational modal analysis software is used to obtain the modal characteristics of the bridge for the various sets of available vibration measurements during different construction phases of both the left and right bridge branches. These modal characteristics are then used to construct and calibrate detailed finite element models of the bridge, consisting of solid elements. A multi-objective structural identification method is used for estimating the parameters of the finite element structural models based on minimising the modal residuals. The method results in multiple Pareto optimal structural models with variability that depends on the fidelity of the model class employed and the size of measurement errors. The identified Pareto models are used for checking design assumptions, for exploring the adequacy of the different classes of finite element models, for identifying soil-structure interaction effects, and for estimating the response prediction variability.
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Lam, H. F.; Papadimitriou, C.; Ntotsios, E. (2008)Successful structural health monitoring and condition assessment depends to a large extent on the sensor and actuator networks place on the structure as well as the excitation characteristics. An optimal experimental design ...
Ntotsios, E.; Christodoulou, K.; Papadimitriou, C. (2008)A multi-objective identification method for model updating based on modal residuals is proposed. The method results in multiple Pareto optimal structural models that are consistent with the measured modal data, the class ...
Papadioti, D. C.; Papadimitriou, C. (2011)Finite element (FE) model updating and validation techniques are formulated as single and multi-objective optimization problems. A multi-objective optimization framework results in multiple Pareto optimal models that are ...