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Automated finite element updating using strain data for the lifetime reliability assessment of bridges

Author

Listed:
  • Okasha, Nader M.
  • Frangopol, Dan M.
  • Orcesi, André D.

Abstract

The importance of improving the understanding of the performance of structures over their lifetime under uncertainty with information obtained from structural health monitoring (SHM) has been widely recognized. However, frameworks that efficiently integrate monitoring data into the life-cycle management of structures are yet to be developed. The objective of this paper is to propose and illustrate an approach for updating the lifetime reliability of aging bridges using monitored strain data obtained from crawl tests. It is proposed to use automated finite element model updating techniques as a tool for updating the resistance parameters of the structure. In this paper, the results from crawl tests are used to update the finite element model and, in turn, update the lifetime reliability. The original and updated lifetime reliabilities are computed using advanced computational tools. The approach is illustrated on an existing bridge.

Suggested Citation

  • Okasha, Nader M. & Frangopol, Dan M. & Orcesi, André D., 2012. "Automated finite element updating using strain data for the lifetime reliability assessment of bridges," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 139-150.
    • Handle: RePEc:eee:reensy:v:99:y:2012:i:c:p:139-150
    DOI: 10.1016/j.ress.2011.11.007
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    References listed on IDEAS

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    1. Okasha, Nader M. & Frangopol, Dan M., 2010. "Redundancy of structural systems with and without maintenance: An approach based on lifetime functions," Reliability Engineering and System Safety, Elsevier, vol. 95(5), pages 520-533.
    2. Bocchini, Paolo & Frangopol, Dan M., 2011. "A probabilistic computational framework for bridge network optimal maintenance scheduling," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 332-349.
    3. Marsh, Philip S. & Frangopol, Dan M., 2008. "Reinforced concrete bridge deck reliability model incorporating temporal and spatial variations of probabilistic corrosion rate sensor data," Reliability Engineering and System Safety, Elsevier, vol. 93(3), pages 394-409.
    4. Yang, Seung-Ie & Frangopol, Dan M. & Kawakami, Yoriko & Neves, Luís C., 2006. "The use of lifetime functions in the optimization of interventions on existing bridges considering maintenance and failure costs," Reliability Engineering and System Safety, Elsevier, vol. 91(6), pages 698-705.
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    Cited by:

    1. Jerez, D.J. & Jensen, H.A. & Beer, M., 2022. "An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    2. Yang, David Y. & Frangopol, Dan M., 2019. "Life-cycle management of deteriorating civil infrastructure considering resilience to lifetime hazards: A general approach based on renewal-reward processes," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 197-212.
    3. Datteo, Alessio & Busca, Giorgio & Quattromani, Gianluca & Cigada, Alfredo, 2018. "On the use of AR models for SHM: A global sensitivity and uncertainty analysis framework," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 99-115.

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