...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Infrastructure Systems >Wavelet-Entropy Approach for Detection of Bridge Damages Using Direct and Indirect Bridge Records
【24h】

Wavelet-Entropy Approach for Detection of Bridge Damages Using Direct and Indirect Bridge Records

机译：采用直接和间接桥梁记录检测桥梁损伤的小波熵方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Bridges as a key component of road networks require periodic monitoring to detect structural degradation for early warning. Early detection of loci and extent of structural flaws is essential to maintain safe bridge functioning. The elegant properties of continuous wavelet transform (CWT) in analyzing the signal in both time and frequency domains was the impetus to extensively employ this technique in structural health monitoring applications. However, the faint signature of structural damages in the recorded bridge responses curtails the merits of employing this technique. Furthermore, the selection process for the optimal CWT parameters that could capture signal discontinuities due to structural damages is an arbitrary process, which adds another level of uncertainty to wavelet transforms. This paper investigates compiling Shannon entropy to CWT to infer the loci and extents of structural damages in bridges. Entropy is a measure used to evaluate the randomness of the data. The more stochastic the data, the higher the entropy. In this article, Shannon entropy is used to associate a proper probability density function for the used wavelet to measure the entropy of the wavelet function at different scales. Implementing this technique facilitates selecting the optimal CWT parameters to better depict the signal; hence, identifying signal discontinuities becomes viable. The paper numerically investigates the fidelity of the proposed approach to identify bridge damages using midspan bridge response as well as using indirect records from a vehicle passing over the bridge. An implicit vehicle-bridge interaction (VBI) algorithm is used to mimic the vehicle-bridge interaction dynamics for different scenarios. (C) 2020 American Society of Civil Engineers.
机译：作为道路网络的关键组成部分的桥梁需要定期监测，以检测预警的结构退化。最初检测基因座和结构缺陷的程度对于维持安全桥接功能至关重要。连续小波变换（CWT）在分析信号中的优雅特性是在结构健康监测应用中广泛使用该技术的推动力。然而，记录的桥梁响应中结构损坏的微弱签名限制了采用这种技术的优点。此外，可以捕获由于结构损坏引起的信号不连续性的最佳CWT参数的选择过程是任意过程，这增加了对小波变换的另一个不确定性。本文调查将香农熵编译为CWT，以推断桥梁结构损坏的基因座和范围。熵是用于评估数据随机性的措施。数据越多，熵越高。在本文中，Shannon熵用于将用于使用的小波的适当概率密度函数与不同的尺度以不同尺度的小波函数的熵测量。实现该技术有助于选择最佳CWT参数以更好地描绘信号;因此，识别信号不连续性变得可行。本文数值研究了使用中跨桥梁响应来识别桥梁损坏的提出方法的保真度以及使用从桥接桥的车辆的间接记录。隐式车桥交互（VBI）算法用于模仿不同场景的车桥交互动态。 （c）2020年美国土木工程师协会。

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