桥梁断面颤振导数的分状态多频强迫振动识别

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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。

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	王林凯1
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	刘志文2
	陈政清2

关键词 ：桥梁断面, 颤振导数识别, 强迫振动法, 计算流体动力学, 动网格

Abstract：

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.

Key words： Bridge deck section identification of flutter derivatives forced vibration method Computational Fluid Dynamics(CFDs) Dynamic mesh

收稿日期: 2017-05-22 出版日期: 2018-10-15

引用本文:

王林凯1,2, 刘志文2，陈政清2. 桥梁断面颤振导数的分状态多频强迫振动识别[J]. 振动与冲击, 2018, 37(20): 15-23.
WANG Linkai1,2,LIU Zhiwen2,CHEN Zhengqing2. Identification of flutter derivatives of bridge deck sections by step-by-step forced vibration with multi frequencies. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(20): 15-23.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2018/V37/I20/15

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