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作 者:王林凯 刘志文[2] 陈政清[2] WANG Linkai;LIU Zhiwen;CHEN Zhengqing(Anhui Province Traffic Planning and Design Research Institute of Limited by Share Ltd, the second bridge branch court,Hefei 230000,China;Hunan Provincial Key Laboratory of Wind Engineering and Bridge Engineering,Hunan Univ.,Changsha 410082,China)
机构地区:[1]安徽省交通规划设计研究总院股份有限公司,合肥230000 [2]湖南大学风工程与桥梁工程湖南省重点实验室,长沙410082
出 处:《振动与冲击》2018年第20期15-23,31,共10页Journal of Vibration and Shock
基 金:国家自然科学基金(51178181;51478180)
摘 要:为提高桥梁断面颤振导数的识别精度与效率,采用计算流体动力学方法建立了桥梁断面颤振导数分状态多频强迫振动识别方法,分别采用传统的弯扭耦合强迫振动识别法与分状态多频气动导数识别方法,对薄平板和大带东桥主梁断面的气动导数进行了识别,将两种方法对应的气动导数识别结果分别与已有文献结果进行了比较。结果表明:采用分状态多频强迫振动方法进行主梁断面气动导数识别精度与弯扭耦合强迫振动气动导数识别精度相当,但识别效率得到明显的提升。For accurate and efficient identification of flutter derivatives of bridge sections,a new step-by-step forced vibration with multi-frequency method was established using the computational fluid dynamics method.The flutter derivatives of a thin plate and the girder section of the Great Belt East Bridge were identified by this new method and the traditional coupled forced vibration in bending and torsion method.The results calculated agree well with relevant existing literature and the experimental research.The results show that the new method can achieve the same level of accuracy as the coupled forced vibration method while improves the identification efficiency significantly.
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