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• W807359168 abstract "This paper describes the development of a numerical model for Sao Lourenco railway bridge and the experimental assessment of its dynamic behaviour based on an ambient vibration test. The ambient vibration test allows the identification of the dynamic properties of the bridge, namely its natural frequencies and mode shapes, by the application of three different output-only techniques: the Peak Picking method (PP), the Enhanced Frequency Domain Decomposition method (EFDD) and the Stochastic Subspace Identification method (SSI-DATA). The modal estimates obtained using these alternative approaches evidenced a good agreement among them and with the obtained values from the finite element (FE) model. A global sensitivity analysis, based on a stochastic sampling strategy, was performed in order to identify the design parameters that influence the modal results and consequently may be used for updating the numerical model." @default.
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• W807359168 date "2009-01-01" @default.
• W807359168 modified "2023-09-26" @default.
• W807359168 title "Numerical and experimental assessment of the modal parameters of a bowstring arch railway bridge" @default.
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