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Abstract

This chapter describes a set of dynamic tests that are frequently performed in railway bridges during their lifecycle, particularly in the construction, reception, and operation phases. Typically, the dynamic testing of railway bridges involves ambient vibration and free vibrations tests, as well as dynamic tests under the passage of traffic loads. In this scope, the typical framework of the dynamic monitoring system is described, particularly in what concerns the sensor types, data acquisition systems (DAQs), communication protocols and data processing. A special emphasis is given to the data processing techniques which are dedicated to each type of dynamic testing. In case of ambient vibration tests a frequency domain method (EFDD—Enhanced Frequency Domain Decomposition) and a time domain method (SSI—Stochastic Subspace Identification) are detailed. In case of free vibration tests the Logarithm Decrement (LD) and Prony methods are described. For the dynamic test under traffic loads some specific features involving Power Spectrum Density (PSD) functions and train dynamic signatures are used. Additionally, the dynamic tests performed in the Cascalheira bridge, located in the northern line of the Portuguese railway network, are presented as a case study.

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Acknowledgements

The authors would like to thank the research unit CONSTRUCT (POCI-01-0145-FEDER-007457, UID/ECI/04708/2020, FEDER and FCT/MCTES)—Institute of R&D in Structures and Construction, funded by FEDER funds through COMPETE2020—Programa Operacional Competitividade e Internacionalização (POCI)—and by national funds through FCT (Fundação para a Ciência e a Tecnologia).

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Correspondence to Diogo Ribeiro .

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Ribeiro, D., Bragança, C., Silva, A., Calçada, R. (2023). Dynamic Testing on Railway Bridges. In: Chastre, C., Neves, J., Ribeiro, D., Neves, M.G., Faria, P. (eds) Advances on Testing and Experimentation in Civil Engineering. Springer Tracts in Civil Engineering . Springer, Cham. https://doi.org/10.1007/978-3-031-23888-8_11

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  • DOI: https://doi.org/10.1007/978-3-031-23888-8_11

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