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

被引:21
|
作者
Matos, Jose C. [1 ]
Moreira, Vicente N. [1 ]
Valente, Isabel B. [1 ]
Cruz, Paulo J. S. [1 ,2 ]
Neves, Luis C. [1 ,3 ]
Galvao, Neryvaldo [1 ]
机构
[1] Univ Minho, Dept Civil Engn, ISISE, P-4800058 Guimaraes, Portugal
[2] Univ Minho, Lab2PT, Sch Architecture, P-4800058 Guimaraes, Portugal
[3] Univ Nottingham, Resilience Engn Res Grp, NTEC Bldg, Nottingham NG7 2RD, England
关键词
Probabilistic-based assessment; Uncertainty sources; Steel-concrete composite bridges; Existing structures; Bayesian inference; Model identification; STRUCTURAL ASSESSMENT; RELIABILITY;
D O I
10.1016/j.engstruct.2018.12.006
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:95 / 110
页数:16
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