Identification of dynamic models of metsovo (greece) bridge using ambient vibration measurements


Abstract eng:
Available methods for structural model updating are employed to develop high fidelity models of the Metsovo bridge using ambient vibration measurements. The Metsovo bridge, the highest bridge of the Egnatia Odos Motorway, is a two-branch balanced cantilever ravine bridge. It has a total length of 357m, a very long central span of 235m, and a height of 110m for the taller pier. Ambient vibration measurements are available during different construction phases of the bridge. Operational modal analysis software is used to obtain the modal characteristics of the bridge. The modal characteristics are then used to update two model classes of finite element models of the bridge. These model classes are based on beam and 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 that are consistent with the measured modal data and the modal residuals used to measure the discrepancies between the measured modal values and the modal values predicted by the model. Single objective structural identification methods are also evaluated as special cases of the proposed multi-objective identification method. The effectiveness of the updated models from the two model classes and their predictive capabilities are assessed. It is demonstrated that the Pareto optimal structural models may vary considerably, depending on the fidelity of the model classes employed and the size of measurement errors.

Contributors:
Publisher:
National Technical University of Athens, 2009
Conference Title:
Conference Title:
COMPDYN 2009 - 2nd International Thematic Conference
Conference Venue:
Island of Rhodes (GR)
Conference Dates:
2009-06-22 / 2009-06-24
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.



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 Record created 2016-11-14, last modified 2016-11-14


Original version of the author's contribution as presented on CD, section: Inverse problems and system identification.:
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