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Bridge health monitoring system based on vibration measurements

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journal contribution
posted on 24.10.2012, 11:35 by Evangelos Ntotsios, Costas Papadimitriou, Panagiotis Panetsos, Grigorios Karaiskos, Kyriakos Perros, Philip C. Perdikaris
A bridge health monitoring system is presented based on vibration measurements collected from a network of acceleration sensors. Sophisticated structural identification methods, combining information from the sensor network with the theoretical information built into a finite element model for simulating bridge behaviour, are incorporated into the system in order to monitor structural condition, track structural changes and identify the location, type and extent of damage. This work starts with a brief overview of the modal and model identification algorithms and software incorporated into the monitoring system and then presents details on a Bayesian inference framework for the identification of the location and the severity of damage using measured modal characteristics. The methodology for damage detection combines the information contained in a set of measurement modal data with the information provided by a family of competitive, parameterized, finite element model classes simulating plausible damage scenarios in the structure. The effectiveness of the damage detection algorithm is demonstrated and validated using simulated modal data from an instrumented R/C bridge of the Egnatia Odos motorway, as well as using experimental vibration data from a laboratory small-scaled bridge section.

History

School

  • Architecture, Building and Civil Engineering

Citation

NTOTSIOS, E. ... et al, 2009. Bridge health monitoring system based on vibration measurements. Bulletin of Earthquake Engineering, 7 (2), pp.469-483.

Publisher

© Springer Verlag

Version

AM (Accepted Manuscript)

Publication date

2009

Notes

The final publication is available at www.springerlink.com.

ISSN

1570-761X

eISSN

1573-1456

Language

en