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Probabilistic-based assessment of existing steel-concrete composite bridges : application to Sousa River Bridge

Matos, Jos� C.; Moreira, Vicente N.; Valente, Isabel B.; Cruz, Paulo J.S.; Neves, Lu�s C.; Galv�o, Neryvaldo


Jos� C. Matos

Vicente N. Moreira

Isabel B. Valente

Paulo J.S. Cruz

Neryvaldo Galv�o


This paper presents a framework to assess the safety of existing structures, combining deterministic model identification and reliability assessment techniques, considering both load-test and complementary laboratory test results. Firstly, the proposed framework, as well as the most significant uncertainty sources are presented. Then, the developed model identification procedure is described. Reliability methods are then used to compute structural safety, considering the updated model from model identification. Data acquisition, such as that collected by monitoring, non-destructive or material characterization tests, is a standard procedure during safety assessment analysis. Hence, Bayesian inference is introduced into the developed framework, in order to update and reduce the statistical uncertainty. Lastly, the application of this framework to a case study is presented. The example analyzed is a steel and concrete composite bridge. The load test, the developed numerical model and the obtained results are discussed in detail. The use of model identification allows the development of more reliable structural models, while Bayesian updating leads to a significant reduction in uncertainty. The combination of both methods allows for a more accurate assessment of structural safety.


Matos, J. C., Moreira, V. N., Valente, I. B., Cruz, P. J., Neves, L. C., & Galvão, N. (2019). Probabilistic-based assessment of existing steel-concrete composite bridges : application to Sousa River Bridge. Engineering Structures, 181, 95-110.

Journal Article Type Article
Acceptance Date Dec 3, 2018
Online Publication Date Dec 11, 2018
Publication Date Feb 15, 2019
Deposit Date Jan 22, 2019
Publicly Available Date Jan 22, 2019
Journal Engineering Structures
Print ISSN 0141-0296
Electronic ISSN 1873-7323
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 181
Pages 95-110
Keywords Civil and Structural Engineering
Public URL
Publisher URL


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