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Chaos theory analysis of a cable-stayed bridge: Part Ⅱ - Analysis of monitoring data for base-line conditions

机译:斜拉桥的混沌理论分析:Ⅱ - 基线条件监测数据分析

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Long term structural health monitoring has become recognized as an important tool for ensuring the structural performance of our nation's cable-stayed bridges. However, this depends upon the establishment of a reliable base-line of structural condition at the early stage of the bridge's service life. The recent completion of the Bill Emerson Memorial Bridge at Cape Girardeau, MO, which included the installation of a network of seismic motion sensors, provides an opportunity to investigate the issues of creating such a base-line. Moreover, the availability of such a monitoring data set enables the evaluation of the possibility of inherent chaotic behavior in cable-stayed structures. This study analyzed the time series data sets collected from various locations along the bridge deck and tower of the Bill Emerson Bridge using CTBR, a Windows-based software application developed by Turner-Fairbank Highway Research Center of FHWA. This software automates the process of extracting the Lyapunov exponents, which are used to characterize the nonlinear dynamics of a structure. The analysis found one or more positive Lyapunov exponents, the signature of chaotic behavior, at various locations on the bridge deck. This phenomenon, resulting from ambient traffic loading rather than from wind and rain loading on the stays themselves, illustrates a mechanism that has been implicated in chaotic behavior of other cable stayed bridges. The analysis has thus revealed a previously unknown effect of chaotic deck motions that could couple into the stay cables. This research demonstrates that once the base-line chaotic systems have been identified it will be possible to track the values of the Lyapunov exponents over time to monitor the structural health of the bridge.
机译:长期结构健康监测已被认为是确保我们国家缆绳座椅结构性能的重要工具。然而,这取决于在桥梁使用寿命的早期阶段建立可靠的结构条件。最近完成了Cape Girardeau,Mo的Bill Emerson Memorial Bridge,其中包括安装地震运动传感器网络,提供了调查创建如此基线的问题的机会。此外,这种监测数据集的可用性使得能够评估电缆保持的结构中固有的混沌行为的可能性。本研究分析了使用CTBR的桥式甲板和Bill Emerson桥梁塔的各个位置收集的时间序列数据集,由CTBR,由FHWA的特纳弗银行高速公路研究中心开发的基于Windows的软件应用程序。该软件可自动提取Lyapunov指令的过程,其用于表征结构的非线性动态。分析发现了一个或多个正面Lyapunov指数,混乱行为的签名,在桥甲板上的各个位置。这种现象,由环境交通负荷而不是风和雨水载入的现象,说明了一种涉及其他电缆延伸桥的混沌行为的机制。因此,分析显示了可能将可能耦合到住宿电缆的混沌甲板运动的未知效果。该研究表明,一旦已经确定了基线混沌系统,就可以随着时间的推移来跟踪Lyapunov指数的值,以监测桥的结构健康。

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