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published an article in January 2015.
Top co-authors
R. Gallego

177 shared publications

University of Granada

E. García-Macías

2 shared publications

University of Córdoba

J. Carretero

1 shared publications


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BOOK-CHAPTER 1 Read 0 Citations Ambient Vibration Testing of Historic Steel-Composite Bridge, the E. Torroja Bridge, for Structural Identification and F... E. García-Macías, R. Castro-Triguero, R. Gallego, J. Carrete... Published: 01 January 2015
Conference Proceedings of the Society for Experimental Mechanics Series, doi: 10.1007/978-3-319-15248-6_16
DOI See at publisher website
ABS Show/hide abstract
The E. Torroja Bridge is a steel-composite bridge which combines inverted steel arch trusses with a concrete deck. This bridge crosses the Guadalquivir River in the small town of Posadas, 30 km far from Córdoba, Spain. It was E. Torroja, the renowned civil engineer who designed and built it until its inauguration in 1951 with an original deck 7 m width. Nevertheless, in 1995 it was remodeled by the author’s grandson, José Antonio Torroja, who raised the width of the deck to 11 m and added two new inverted steel arches beside the original ones. In order to assess the structural health condition of the bridge, ambient vibration tests were carried out in June 2014.
BOOK-CHAPTER 1 Read 1 Citation Optimal Sensor Placement for Structures Under Parametric Uncertainty Rafael Castro-Triguero, Senthil Murugan, Michael Friswell, R... Published: 01 January 2013
Conference Proceedings of the Society for Experimental Mechanics Series, doi: 10.1007/978-1-4614-6519-5_14
DOI See at publisher website
ABS Show/hide abstract
This paper examines the influence of parametric uncertainties on the optimal sensor placement methodologies for modal analysis of a truss bridge. Four classical sensor location methodologies are employed: two based on the Fisher information matrix and two based on energy matrix rank optimization. Young’s modulus, mass density and cross sectional dimensions are considered as uncertain parameters. The independent effects and cumulative effects of these uncertain variables on the sensor configuration are studied. The optimal locations of sensors under parametric uncertainty are assessed by the use of three different criteria. Furthermore, the robustness of this configuration is investigated for different levels of signal-to-noise ratio. The numerical results show the parametric uncertainties have significant influence on the optimal sensor configuration of a truss bridge.