Structural Dynamics of Bridges Under the Coupling Effect of Windmills and Bridges
DOI:
https://doi.org/10.13052/ejcm2642-2085.31563Keywords:
Bridge dynamic response, wind-vehicle-bridge coupling, optimization of mechanical parameters, multi-step iterative method, vibration testAbstract
To analyze the coupled dynamics effects of existing railroad frame bridge structures under the action of traffic, a coupled train-ballast track-suspension bridge girder-soil dynamics model is established based on railroad large system dynamics and finite element theory. The joint ABAQUS-MATLAB simulation, time-varying coupling, and multi-step dynamic iterative solution strategies are introduced to numerically simulate the mechanical properties of existing railroad structures under the coupled effects of wind loads and traffic action. Specifically, (1) a dichotomous method is proposed to investigate the static behavior of the bridge in the bridge-forming state, and the maximum upper arch of the stiffened girder is 3.67 cm, which occurs at about 1/4 and 3/4 positions of the main span, and the lower deflection of the side span is larger, and the maximum lower deflection occurs at 11.04 cm in the span of the 110 m side span. The vertical acceleration in the span increases immediately with the maximum peak of 30 cm/s2, while the lateral acceleration is maintained within 20 cm/s22. (2) The effects of the stiffness of the rail fasteners and the bridge plate support stiffness on the dynamics were studied. (3) The results of the time-domain analysis are in general agreement with the simulation data, except for the error of the ambient vibration background existing at the peak. The correctness of the simulation model is verified.
Downloads
References
Zhai W, Zhao Chunfa. Frontiers and challenges of modern rail transportation engineering science and technology. Journal of Southwest Jiaotong University. 2016, 51(2):209–226.
Tang Mao-Lin. Spatial geometric nonlinear analysis and software development for large span suspension bridges. Southwest Jiaotong University. 2003, 6.
Tang Mao-Lin, Qiang Shi-Zhong, Shen Rui-Li. Segmental suspension chain line method for calculating the main cable shape of suspension bridge. Journal of Railway. 2003, 25(1):87–91.
Xiang, Haifan et al. Advanced bridge structure theory. People’s Traffic Press, 2018, 7.
Ke Hongjun. Rational design and reasonable construction state determination of complex suspension bridges. The Changsha University of Technology. 2014, 10.
Li Chuanxi. Theory and Practice of Static Nonlinearities in Modern Suspension Bridges. Beijing: People’s Traffic Publishing House. 2014,10.
Li Yongle. Research on nonlinear spatial coupling vibration of wind-vehicle-bridge system. Chengdu: Southwest Jiaotong University. 2003.
Li YL, Cai XT, Tang K, Liao HL. Numerical simulation study on the spatial distribution characteristics of the wind field in deep-cut canyon bridge site area. Journal of Civil Engineering, 2011, 44(2):116–122.
Li YL, Xijian ZL, Wang B, Liao HL. Numerical simulation study on wind characteristics of terrain in bridge site area near Y-shaped estuary in the mountainous area. Journal of Southwest Jiaotong University, 2016, 51(2):341–348.
Hu Peng. Wind tunnel test and CFD study on wind characteristics of deep-cut canyon bridge site. Chengdu: Southwest Jiaotong University. 2009.
Pan YR, Du GH, Fan LZ. Fine calculation of geometry and internal forces of suspension bridges with constant load structure. Chinese Journal of Highways. 2003, 13(4):33–36.
Yongle Li, Peng Hu, Xinyu Xu, Junjie Qiu. Wind characteristics at bridge site in a deep-cutting gorge by wind tunnel test. Journal of Wind Engineering and Industrial Aerodynamics, 2017, 160: 30–46.
Yongle Li, Xinyu Xu, Mingjin Zhang, and Youlin Xu. Wind tunnel test and numerical simulation of wind characteristics at a bridge site in mountainous Advances in Structural Engineering, 2016.
Peng Hu, Yongle Li, YanHan, Steve C. S. Cai, and Xinyu Xu. Numerical simulations of the mean wind speeds and turbulence intensities over simplified gorges using the SST k-ω
turbulence model, Engineering Applications of Computational Fluid Mechanics, 2016, 10(1): 361–374.
Tang Haojun. Wind-induced vibration and pneumatic measures for large-span steel truss girder suspension bridges in complex mountain canyons. Chengdu: Southwest Jiaotong University. 2016.
Zhang M.J., Li Y.L., Yu Chuanjin, Wu Lianhuo. Field empirical study of high-altitude wind characteristics in deep-cut canyon bridge site area. Journal of Southwest Jiaotong University, 2019, 54(3):542–547.
Zhang MJ, Li YL. Field measurements of wind characteristics in the bridge site area of high altitude and high-temperature difference deep canyon. Chinese Journal of Highways, 2015, 28(3):60–65.
Li Y.L., Tang K. Composite wind speed criteria for large-span bridges in deep-cut canyon areas. Journal of Southwest Jiaotong University, 2010, 45(2):167–173.
Xu Hongtao. Research on wind characteristics parameters and wind-induced vibration of large span truss girder bridge in mountain canyon]. Chengdu: Southwest Jiaotong University. 2009.
Wang K, Liao H-L, Li M-S, Ma C-M. Method for determining the baseline wind speed for bridge design in mountain canyons. Journal of Southwest Jiaotong University, 2013, 48(1):29–35.
Wang K, Liao H-L, Li M-S, Ma C-M, Zuo Le-B. Wind response of large-span pipeline bridges in mountain canyons. Journal of Petroleum, 2014, 35(3):564–568.
Wang K, Liao H-L, Liu J. Experimental study on wind resistance characteristics of large span steel truss girder bridge in mountain canyon. Vibration and Impact, 2014, 33(19):169–174.
Chen Zhengqing, Li Chunguang, Zhang Zhitian, Liao Jianhong. Experiments on wind field characteristics of large-span bridges in mountainous canyon areas. Experimental Fluid Mechanics, 2008, 22(3):54–59.
Zhang Zhitian, Tan Buhao, Chen Tianle. Field empirical study on wind characteristics of deep-cut canyons in hilly areas. Journal of Hunan University, 2019, 46(7):113–122.
Stüber C. Air- and structure-borne noise of railways. Journal of Sound and Vibration, 1975, 43(2):281–289.
Wang A, et al. Railway bridge noise control with resilient baseplates. Journal of sound and vibration, 2000, 231(3): 907–911.
Ngai K. The model of local mode analysis for structural acoustics of box structures Hong Kong Polytechnic University (Hong Kong), 2004.
Liu YH, Ge QH, Zuo PF, et al. Test analysis of vibration and noise of box girder structure of viaduct. Journal of Wuhan Light Industry University, 2007, 26(3): 58–59.
Li X, Zhang X, Zhang Z, et al. Experimental research on noise emanating from concrete box-girder bridges on intercity railway lines[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2015, 229(2): 125–135.
M.H.A. Janssens, D.J. Thompson. A calculation model for the noise from steel railway bridge. Journal of Sound and Vibration, 1996, 193(1): 295–305.
J.G. Walker, N.S. Ferguson, M.G. Smith. An investigation of noise from trains on bridges. Journal of Sound and Vibration, 1996, 193(1): 307–314.
Jean P. A variational approach for the study of outdoor sound propagation and application to railway noise. Journal of sound and vibration, 1998, 212(2): 275–294.
Jean P, Gabillet Y. Using a boundary element approach to study small screens close to rails. Journal of sound and vibration, 2000, 231(3): 673–679.
Li Q, Xu Y L, Wu D J. Concrete bridge-borne low-frequency noise simulation based on train-track-bridge dynamic interaction Journal of sound and vibration, 2012, 331(10): 2457–2470.
Wang Shaoqin, Ma Quan, Xia Wo, Guo Weiwei. Nonlinear coupled vibration analysis of wind-train-large span suspension bridge system. Engineering Mechanics, 2016, 33(12):150–157.
Liu De-jun. Study on the coupling vibration of wind-train-line bridge system. Southwest Jiaotong University, 2010, 6.
Xu Xinyu. Study on the coupled vibration of wind-vehicle-bridge system in complex mountain railroad[. Southwest Jiaotong University, 2017, 6.
Yangyang Wei, et al. Bionic Mechanical Analysis of Dragonfly Wings: The Feasibility of Mesh Combination to Improve Structural Stiffness. European Journal of Computational Mechanics, 2022, 31(4): 459–504.
Wang Taiheng et al. Analysis of Factors Influencing Mechanical Properties of Corrugated Steel Based on Entropy Method. European Journal of Computational Mechanics, 2022, 31(4): 539–554.
