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Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management pp 83–103Cite as

Calibration of Dynamic Models of Railway Bridges Based on Genetic Algorithms

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Part of the book series: Computational Methods in Applied Sciences ((COMPUTMETHODS,volume 39))

Abstract

This chapter presents the main experimental calibration methodologies of finite element numerical models, with particular focus on methodologies based on modal parameters. In this context, the computational implementation of an iterative method based on a genetic algorithm is described. The iterative method involves the resolution of an optimization problem, which involves the minimization of an objective function by varying a set of preselected model parameters. The objective function includes residuals associated to natural frequencies and mode shapes. The proposed methodology is applied to the calibration of the dynamic models of two railway bridges, São Lourenço bridge and Alverca viaduct, both located in the northern line of the Portuguese railways in recently upgraded track sections. The calibration results demonstrate a very good agreement between numerical and experimental modal responses and a significant improvement of the numerical models before calibration. Also the stability of a significant number of parameters, considering different initial populations, proved the robustness of the genetic algorithm in the scope of the optimization of the numerical models. The updated numerical models were validated based on dynamic tests under railway traffic. The results showed an excellent agreement between numerical and experimental responses in terms of displacements and accelerations of the bridges’ decks.

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Acknowledgments

The authors would also like to thank to REFER, the company responsible for the management of the Portuguese railway network, for all the information provided about São Lourenço bridge and Alverca viaduct and for all the support given during the experimental tests, as well as the support provided by CSF, Centre of Competence in Railways of the Faculty of Engineering of the University of Porto.

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Authors and Affiliations

  1. School of Engineering, Polytechnic of Porto, Porto, Portugal

    Diogo Ribeiro

  2. Faculty of Engineering, University of Porto, Porto, Portugal

    Rui Calçada & Raimundo Delgado

Authors
  1. Diogo Ribeiro
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  2. Rui Calçada
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  3. Raimundo Delgado
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Corresponding author

Correspondence to Diogo Ribeiro .

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Editors and Affiliations

  1. Departamento de Engenharia civil, ISEP, Instituto Politecnico Porto, Porto, Portugal

    Jorge Magalhães-Mendes

  2. Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numericas en Ingenieria—SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    David Greiner

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Ribeiro, D., Calçada, R., Delgado, R. (2015). Calibration of Dynamic Models of Railway Bridges Based on Genetic Algorithms. In: Magalhães-Mendes, J., Greiner, D. (eds) Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management. Computational Methods in Applied Sciences, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-20406-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-20406-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20405-5

  • Online ISBN: 978-3-319-20406-2

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