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Dynamic Reliability of the Buffeting Responses of Suspension Bridges Considering Non-Gaussian Factors |
HU Jun1,2, OU Jin-ping3 |
1. State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China;
2. School of Civil Engineering and Architecture, Chongqing Jiaotong University, Chongqing 400074, China;
3. School of Civil Engineering, Dalian University of Technology, Dalian Liaoning 116024, China |
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Abstract Based on the accurate analysis of the time history of bridge buffeting responses and considering the nonlinearity factors of the structure and wind load, the non-Gaussian response of a structure is derived. The Hermite moment model is introduced to transform the unknown distribution responses into standard Gaussian random processes based on their first four moments, and the dynamic reliability of the structure under strong wind conditions is then numerically analyzed in combination with the Poisson process method. A long-span suspension bridge at the East Sea of China is analyzed and the buffeting dynamic reliability of the stiffening girder is discussed in detail. The results indicate that (1) the middle support section of the stiffening girder is the critical section under fluctuating wind conditions and the dynamic reliability decreases as the wind speed increases, (2) nonlinear effects in the structure are apparent under strong wind conditions, and (3) the common assumption of Gaussian process will produce inaccurate results and unsafe bridge design.
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Received: 23 January 2013
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Fund:Supported by the National Program on Key Basic Research Project (973 Program)(NO. 2012CB723305) |
Corresponding Authors:
HU Jun, hjisincsu@163.com
E-mail: hjisincsu@163.com
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[1] LI Yong-le, AN Wei-sheng, LI Cui-juan, et al. Selection of Main Girder for Super Long-span Bridges Based on Wind-induced Static and Dynamic Stability[J]. Journal of Highway and Transportation Research and Development, 2012, 29(8):51-55. (in Chinese)
[2] HU Jun, OU Jin-ping. Time Dependent Dynamic Reliability of Buffeting Responses of Long Span Suspension Bridge[J]. Journal of Wuhan University of Technology, 2012, 32(9):26-30. (in Chinese)
[3] HU Jun, GUO Jian, OU Jinping. Measurement of Wind Field Characteristics at a Long-span Suspension Bridge[J]. Journal of Southeast University:English Edition, 2011, 27(3):328-334.
[4] SU Cheng, XU Rui. Dynamic Reliability Analysis of Stochastic Structures Subjected to Non-stationary Seismic Excitations[J]. Journal of Vibration Engineering,2011, 24(2):118-124. (in Chinese)
[5] YANG Yong-yi. Study on the Buffeting Time Dependent Reliability of Single Tower Cable-stayed Bridge[D].Chengdu:Southwest Jiaotong University, 2003. (in Chinese)
[6] LU Wei, QIANG Shi-zhong, LI Xiao-yu. Dynamic Reliability Analysis for Buffeting of Cable-stayed Bridge[J]. Journal of Vibration and Shock,2001, 20(2):82-85.(in Chinese)
[7] GE Yao-jun, TANAKA H, XIANG Hai-fan. Probabilistic Assessment of Buffeting Responses in Long-span Bridges[C]//Proceeding of the International Conference on Advances in Structural Dynamics. Hong Kong:[s.n.], 2000:13-15.
[8] LIU Gao, LIN Jia-hao, WANG Xiu-wei. Dynamic Reliability of Buffeting Responses in Long-span Cable-Stayed Bridges by the First Excursion Mechanism[J]. Chinese Journal of Applied Mechanics, 2004, 21(3):53-57. (in Chinese)
[9] ZHAO Lin, GE Yao-jun, XIANG Hai-fan. Monte Carlo Simulation Approach to First Passage Probability in Bridge Buffeting Response[J]. Engineering Mechanics,2006, 23(1):123-129. (in Chinese)
[10] CAO Ying-hong, XIANG Hai-fan, ZHOU Ying. Combined Flutter and Buffeting Analysis in Time Domain for Long-span Bridges[J]. China Civil Engineering Journal,2000, 33(5):57-62. (in Chinese)
[11] YE Jiang-shui, WANG Zhong-gang, CHEN You-liang, et al. Research on Approximate Methods of Non-Gaussian Probability Density Function Based on the First Four Moments of the Response[J]. Journal of Logistical Engineering University,2010, 26(1):12-16. (in Chinese)
[12] WINTERSTEIN S R, KASHEF T. Moment Based Load and Response Models with Wind Engineering Applications[J]. Journal of Solar Energy Engineering, 2000, 122(3):122-128.
[13] GRIGORIU M. Applied Non-Gaussian Processes[M]. Englewood Cliffs, NJ:Prentice Hall, Inc., 1995. |
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