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http://dx.doi.org/10.12989/was.2018.27.3.175

Reliability analysis on flutter of the long-span Aizhai bridge  

Liu, Shuqian (Department of Civil and Environmental Engineering, Louisiana State University)
Cai, C.S. (Department of Civil and Environmental Engineering, Louisiana State University)
Han, Yan (School of Civil Engineering, Changsha University of Science & Technology)
Li, Chunguang (School of Civil Engineering, Changsha University of Science & Technology)
Publication Information
Wind and Structures / v.27, no.3, 2018 , pp. 175-186 More about this Journal
Abstract
With the continuous increase of span lengths, modern bridges are becoming much more flexible and more prone to flutter under wind excitations. A reasonable probabilistic flutter analysis of long-span bridges involving random and uncertain variables may have to be taken into consideration. This paper presents a method for estimating the reliability index and failure probability due to flutter, which considers the very important variables including the extreme wind velocity at bridge site, damping ratio, mathematical modeling, and flutter derivatives. The Aizhai Bridge in China is selected as an example to demonstrate the numerical procedure for the flutter reliability analysis. In the presented method, the joint probability density function of wind speed and wind direction at the deck level of the bridge is first established. Then, based on the fundamental theories of structural reliability, the reliability index and failure probability due to flutter of the Aizhai Bridge is investigated by applying the Monte Carlo method and the first order reliability method (FORM). The probabilistic flutter analysis can provide a guideline in the design of long-span bridges and the results show that the structural damping and flutter derivatives have significant effects on the flutter reliability, more accurate and reliable data of which is needed.
Keywords
flutter reliability; critical flutter velocity; long-span suspension bridges; flutter derivatives; Monte Carlo method; first order reliability method;
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