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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.21 No.5
- 발행연도
- 2018.1
- 수록면
- 591 - 600 (10page)
이용수
초록· 키워드
오류제보하기
The probabilistic characterization of wind field characteristics is a significant task for fatigue reliability assessment of long-span railway bridges in wind-prone regions. In consideration of the effect of wind direction, the stochastic properties of wind field should be represented by a bivariate statistical model of wind speed and direction. This paper presents the construction of the bivariate model of wind speed and direction at the site of a railway arch bridge by use of the long-term structural health monitoring (SHM) data. The wind characteristics are derived by analyzing the real-time wind monitoring data, such as the mean wind speed and direction, turbulence intensity, turbulence integral scale, and power spectral density. A sequential quadratic programming (SQP) algorithm-based finite mixture modeling method is proposed to formulate the joint distribution model of wind speed and direction. For the probability density function (PDF) of wind speed, a double-parameter Weibull distribution function is utilized, and a von Mises distribution function is applied to represent the PDF of wind direction. The SQP algorithm with multi-start points is used to estimate the parameters in the bivariate model, namely Weibull-von Mises mixture model. One-year wind monitoring data are selected to validate the effectiveness of the proposed modeling method. The optimal model is jointly evaluated by the Bayesian information criterion (BIC) and coefficient of determination, R2. The obtained results indicate that the proposed SQP algorithm-based finite mixture modeling method can effectively establish the bivariate model of wind speed and direction. The established bivariate model of wind speed and direction will facilitate the wind-induced fatigue reliability assessment of long-span bridges.
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참고문헌 (28)
참고문헌 신청
Bo Chen / 2013 / Full-scale measurements of wind effects and modal parameter identification of Yingxian wooden tower / Wind and Structures, An International Journal 17(6):609~627
Comanducci, G. / 2015 / Structural health monitoring of suspension bridges with features affected by changing wind speed / J. Wind Eng. Ind. Aerod. 141:12~26
Ding, Y.L. / 2015 / Long-term structural health monitoring system for a highspeed railway bridge structure / Sci. World J. :1~17
Youliang Ding / 2013 / Statistical characteristics of sustained wind environment for a long-span bridge based on long-term field measurement data / Wind and Structures, An International Journal 17(1):43~68
Erdem, E. / 2011 / Comparison of bivariate distribution construction approaches for analysing wind speed and direction data / Wind Energy 14(1):27~41
Comanducci, G. / 2015 / Structural health monitoring of suspension bridges with features affected by changing wind speed / J. Wind Eng. Ind. Aerod. 141:12~26
Ding, Y.L. / 2015 / Long-term structural health monitoring system for a highspeed railway bridge structure / Sci. World J. :1~17
Youliang Ding / 2013 / Statistical characteristics of sustained wind environment for a long-span bridge based on long-term field measurement data / Wind and Structures, An International Journal 17(1):43~68
Erdem, E. / 2011 / Comparison of bivariate distribution construction approaches for analysing wind speed and direction data / Wind Energy 14(1):27~41
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