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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Steel and Composite Structures, An International Journal Steel and Composite Structures, An International Journal Vol.20 No.6
- 발행연도
- 2016.1
- 수록면
- 1,345 - 1,368 (24page)
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초록· 키워드
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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.
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참고문헌 (38)
참고문헌 신청
Barbato, M. / 2014 / Probabilistic nonlinear response analysis of steel-concrete composite beams / J. Struct. Eng. 140(1):04013034
Bergmeister, K. / 2009 / Structural assessment and reliability analysis for existing engineering structures, theoretical background / Struct. Infra. Eng. 5(4):267~275
Bernardo, J.M. / 2004 / Bayesian Theory / John Wiley & Sons, Ltd.
Beyer, H.-G. / 2002 / Evolution strategies – A comprehensive introduction / Natural Comput. 1(1):3~52
Casas, J.R. / 2011 / Safety requirements and probabilistic models of resistance in the assessment of existing railway bridges / Struct. Infra. Eng. 9(6):529~545
Bergmeister, K. / 2009 / Structural assessment and reliability analysis for existing engineering structures, theoretical background / Struct. Infra. Eng. 5(4):267~275
Bernardo, J.M. / 2004 / Bayesian Theory / John Wiley & Sons, Ltd.
Beyer, H.-G. / 2002 / Evolution strategies – A comprehensive introduction / Natural Comput. 1(1):3~52
Casas, J.R. / 2011 / Safety requirements and probabilistic models of resistance in the assessment of existing railway bridges / Struct. Infra. Eng. 9(6):529~545
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