Changing dynamic of bridge aerodynamics
Changing dynamic of bridge aerodynamics
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DOI：
10.1680/stbu.14.00022
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发表时间：
2015-09
期刊：
影响因子：
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通讯作者：
A. Kareem;Teng Wu
中科院分区：
文献类型：
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作者：
A. Kareem;Teng Wu
保证大跨桥梁在风作用下的安全性和可靠性需要对风致效应进行精确建模。本研究首先对现有的桥梁空气动力学传统线性和非线性模型进行了系统回顾，重点研究了它们之间的关系。在强调了传统模型的缺点之后，介绍了基于人工神经网络、非线性移动平均线（在Volterra理论框架内）和Volterra级数的三种先进非线性模型。介绍了线性和非线性分析方案的示例应用，强调了平滑和湍流风条件下桥梁空气动力学的动态变化。
The assurance of safety and reliability of long-span bridges under winds requires the accurate modelling of wind-induced effects. In this study, the existing conventional linear and non-linear models of bridge aerodynamics are first systematically reviewed with a focus on the study of the relationships among them. After highlighting the shortcomings of conventional models, three advanced non-linear models, based on artificial neural networks, non-linear moving average (within the framework of Volterra theory) and Volterra series, are introduced. Example applications of linear and non-linear analysis schemes are presented, underscoring the changing dynamic of bridge aerodynamics under smooth and turbulent wind conditions.