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首页> 外文期刊>Advances in Structural Engineering >A cointegration approach for cable anomaly warning based on structural health monitoring data: An application to cable-stayed bridges
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A cointegration approach for cable anomaly warning based on structural health monitoring data: An application to cable-stayed bridges

机译：基于结构健康监测数据的电缆异常警告的协整方法：缆绳桥梁的应用

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摘要

For long-span cable-stayed bridges, cables are one of the most important components to resist various actions. With the application of structural health monitoring technique, real-time recording of cable forces is achieved, and hence, the warning system on cable anomaly established. However, it is still difficult and there are challenges to conduct the warning system effectively, especially due to the phenomena of false alarm or omission. A practical reason is the warning index's sensitivity to the ambient environment. Temperature variations, for instance, usually disturb the force-based cable anomaly warning and result in the false evaluation of structural condition. In view of eliminating the effects of environmental temperature, cointegration, a statistical concept from econometrics, is employed in cable anomaly warning studies. An approach that extracts warning index by linear combination of two non-stationary time series using the cointegration algorithm is developed in order to produce a more stationary cointegrated residual series (warning index series). The calculated stationary relationship between two time series is insensitive to the influence of environmental temperature and is capable of cable anomaly warning. Specifically, the framework of the cable anomaly warning system is first proposed. Subsequently, time-series test methods are introduced to check the non-stationary order and calculate the cointegration parameters of measured cable forces and environmental temperature. The computed cointegrated residual series is fed into statistical analysis as a warning index and the procedure of cable anomaly warning under the influence of environmental temperature is illustrated in detail. Finally, a case study for a cable-stayed bridge is demonstrated with results and discussions.
机译：对于长跨度斜拉桥，电缆是抵制各种动作的最重要组件之一。随着结构性健康监测技术的应用，实现了电缆力的实时记录，因此建立了电缆异常的警告系统。然而，它仍然很困难，有效地开展警告系统仍然存在挑战，特别是由于虚假警报或遗漏的现象。实际原因是警告指标对环境环境的敏感性。例如，温度变化通常会干扰基于力的电缆异常警告，并导致结构状况的错误评估。鉴于消除环境温度的影响，CoIntegration，来自计量经济学的统计概念，在电缆异常警告研究中使用。通过使用协整算法的两个非静止时间序列的线性组合提取警告索引的方法，以产生更加静止的协整残余系列（警告指数系列）。两个时间序列之间的计算静止关系对环境温度的影响不敏感，并且能够有线异常警告。具体地，首先提出电缆异常警告系统的框架。随后，引入了时间序列测试方法以检查非静止顺序并计算测量电缆力和环境温度的协整参数。计算的协整残留系列被馈送到统计分析中，作为警告指标，并详细说明了环境温度影响下的电缆异常警告的程序。最后，通过结果和讨论来证明对斜拉桥的案例研究。

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  • 来源
    《Advances in Structural Engineering》 |2020年第13期|2789-2802|共14页
  • 作者

    Fan Zi-Yuan; Huang Qiao; Ren Yuan; Zhu Zhi-Yuan; Xu Xiang;

  • 作者单位

    Southeast Univ Sch Transportat Nanjing 211189 Jiangsu Peoples R China|Minist Transport Key Lab Safety & Risk Management Transport Infras Nanjing Peoples R China;

    Southeast Univ Sch Transportat Nanjing 211189 Jiangsu Peoples R China|Minist Transport Key Lab Safety & Risk Management Transport Infras Nanjing Peoples R China;

    Southeast Univ Sch Transportat Nanjing 211189 Jiangsu Peoples R China|Minist Transport Key Lab Safety & Risk Management Transport Infras Nanjing Peoples R China;

    Southeast Univ Sch Transportat Nanjing 211189 Jiangsu Peoples R China|Minist Transport Key Lab Safety & Risk Management Transport Infras Nanjing Peoples R China;

    Hong Kong Polytech Univ Dept Civil & Environm Engn Hung Hom Hong Kong Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    anomaly warning; cable force; cable-stayed bridge; cointegration; structural health monitoring;

    机译：异常警告;电缆力;斜拉桥;协整;结构健康监测;

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