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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 108
PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING
Edited by: J. Kruis, Y. Tsompanakis and B.H.V. Topping
Paper 140

Finite Element Model Updating of a Highway Bridge based on Operational Modal Analysis

D. Losanno1, M. Iuliano1, B. Briseghella2 and G. Serino1

1Department of Structures for Engineering and Architecture, University of Naples Federico II, Italy
2College of Civil Engineering, Fuzhou University, China

Full Bibliographic Reference for this paper
D. Losanno, M. Iuliano, B. Briseghella, G. Serino, "Finite Element Model Updating of a Highway Bridge based on Operational Modal Analysis", in J. Kruis, Y. Tsompanakis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 140, 2015. doi:10.4203/ccp.108.140
Keywords: model updating optimization, operational modal analysis, finite element, modelling, structural identification, damage detection.

Summary
This paper deals with the dynamic identification and finite element model updating of Magaz bridge, located in Spain. It is a three span continuous bridge with composite steel-concrete cross section. Operational modal analysis was performed from ambient vibration data by the covariance driven stochastic subspace identification algorithm. A very accurate three-dimensional finite element model was built using SAP2000 assuming geometrical and mechanical properties from the original drawings. At the first step of the calibration process, a parametric study was performed to identify the most sensitive parameters affecting the finite element model-computed modal frequencies and mode shapes. The automated finite element model updating problem has then been formulated as an optimization problem. The uncertainty on some physical parameters has been adjusted through an iterative process that aims at minimizing the objective function, hence to solve a nonlinear least squares problem which has as its subject the residuals of the relative difference from the numerical and experimental eigenfrequencies and eigenvectors. The outcome of the optimization is a significantly improved finite element model with very good agreement in terms of frequencies and modal assurance criteria values on the first modes.

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