【24h】

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:第二部分-基线状态监测数据分析

获取原文
获取原文并翻译 | 示例

摘要

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:长期的结构健康监测已被认为是确保我国斜拉桥结构性能的重要工具。但是,这取决于在桥梁使用寿命的早期就建立可靠的结构状态基线。密苏里州盖拉多角的比尔·爱默生纪念桥最近完工,其中包括地震运动传感器网络的安装,为研究建立这样的基线的问题提供了机会。而且,这种监测数据集的可用性使得能够评估斜拉结构中固有的混沌行为的可能性。这项研究使用CTBR(从FHWA的特纳-费尔班克高速公路研究中心开发的基于Windows的软件应用程序)分析了从比尔·爱默生大桥的桥面和塔楼各个位置收集的时间序列数据集。该软件可自动提取Lyapunov指数,该指数用于表征结构的非线性动力学。该分析在桥面板的各个位置发现了一个或多个正Lyapunov指数,这是混沌行为的标志。这种现象是由于周围的交通负荷而不是撑杆自身的风雨荷载引起的,说明了一种与其他斜拉桥的混沌行为有关的机理。因此,分析揭示了混乱的甲板运动的先前未知的影响,它可能会耦合到拉索中。这项研究表明,一旦确定了基线混沌系统,就有可能随着时间的推移跟踪李雅普诺夫指数的值,以监测桥梁的结构健康状况。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号