Steel and Composite Structures

  • 제20권6호
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  • Pages.1345-1368
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  • 2016
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Probabilistic-based assessment of composite steel-concrete structures through an innovative framework

  • Matos, Jose C. (ISISE, Department of Civil Engineering, School of Engineering, University of Minho) ;
  • Valente, Isabel B. (ISISE, Department of Civil Engineering, School of Engineering, University of Minho) ;
  • Cruz, Paulo J.S. (Lab2PT, School of Architecture, University of Minho) ;
  • Moreira, Vicente N. (ISISE, Department of Civil Engineering, School of Engineering, University of Minho)
  • 투고 : 2015.10.10
  • 심사 : 2016.02.19
  • 발행 : 2016.04.30
⟨ 이전 논문 다음 논문 ⟩

초록

This paper presents the probabilistic-based assessment of composite steel-concrete structures through an innovative framework. This framework combines model identification and reliability assessment procedures. The paper starts by describing current structural assessment algorithms and the most relevant uncertainty sources. The developed model identification algorithm is then presented. During this procedure, the model parameters are automatically adjusted, so that the numerical results best fit the experimental data. Modelling and measurement errors are respectively incorporated in this algorithm. The reliability assessment procedure aims to assess the structure performance, considering randomness in model parameters. Since monitoring and characterization tests are common measures to control and acquire information about those parameters, a Bayesian inference procedure is incorporated to update the reliability assessment. The framework is then tested with a set of composite steel-concrete beams, which behavior is complex. The experimental tests, as well as the developed numerical model and the obtained results from the proposed framework, are respectively present.

키워드

참고문헌

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