首页> 外文会议>International Conference on Computational Methods and Experimental Measurements(CMEM/07); 2007; Prague(CZ) >Parameter identification for multiple modes of cable-stayed bridge cables using ambient vibration measurements from a single station
【24h】

Parameter identification for multiple modes of cable-stayed bridge cables using ambient vibration measurements from a single station

机译:使用来自单个站的环境振动测量,对斜拉桥电缆的多种模式进行参数识别

获取原文
获取原文并翻译 | 示例

摘要

The measurements and subsequent system identification of the cables play extremely important roles in health monitoring of the whole cable-stayed bridge. The technique of ambient vibration measurement where only the output signal is available has been commonly adopted to measure the cable-stayed bridges. In this case, it is most popular in the literature to combine the random decrement method together with the Ibrahim time domain method for system identification. To apply the above two methods for cable identification, however, the problem of imperfect random decrement signatures and the difficulty of conducting well-distributed measurements at various stations of a single cable have to be overcome. The crucial time shifting parameter is first explored in this study to extend the applicability of the Ibrahim time domain method. In addition, with the mode separation technique and a novel multiple random decrement method recently proposed, an effective method to identify the parameters of several cable modes merely based on the measurement of a single station is developed and demonstrated by applying it to the velocity record of a cable of the Chi-Lu cable-stayed bridge. The validation of this method is also provided in this paper.
机译:电缆的测量和随后的系统识别在整个斜拉桥的健康状况监测中起着极其重要的作用。通常仅采用输出信号的环境振动测量技术来测量斜拉桥。在这种情况下,将随机减量方法与易卜拉欣时域方法结合起来进行系统识别是文献中最普遍的问题。然而,为了将上述两种方法用于电缆识别,必须克服不完全的随机减量签名的问题以及在单个电缆的各个位置进行分布良好的测量的困难。在这项研究中首先探索了关键的时移参数,以扩展易卜拉欣时域方法的适用性。此外,通过最近提出的模式分离技术和新颖的多重随机递减方法,开发了一种仅基于单站测量来识别几种电缆模式参数的有效方法,并将其应用于速度记录。芝路斜拉桥的电缆。本文还提供了该方法的验证。

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