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Drive-by-bridge inspection for damage identification in a cable-stayed bridge: Numerical investigations

机译:斜线桥中损坏识别的逐桥检查:数值调查

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摘要

This paper presents one of the first attempts of indirect Bridge Health Monitoring (BHM) for cable damage identification in a cable-stayed bridge. The premise of the work is to identify the location and the severity of a sustained structural damage to the cables, measured solely by vibration response of a moving vehicle passing over the bridge. To this aim, new formulations of dynamic coupling between the vehicle and the bridge are developed, utilizing finite element (FE) approach and validated. Further, the proposed framework to obtain the Vehicle-Bridge Interaction (VBI) is extended to a large-scale cable-stayed bridge. Various damage cases, caused by a partial and incremental change in structural stiffness of cables, being representative of gradual sectional loss due to corrosion, are taken into account. A damage index based on the Empirical Mode Decomposition (EMD) scheme is presented, and through extensive numerical investigations, it is demonstrated that under certain vehicle parameters the vehicle vibration response not only is capable of identifying the suffered damage to the bridge, but also is able to identify the damage location, and further to assess its severity. The contributions of the work are fourfold: (1) Many of the existing studies only focus on the simplified models of the bridge based on a simply supported Euler-Bernoulli beam theory; however, this paper extends the VBI framework to a three-dimensional numerical model of a large-scale bridge structure, being rarely reported in the BHM context. (2) The validation of the technique is demonstrated through extensive numerical investigations on a statically indeterminate cable-stayed bridge. (3) Successful detection, localization and assessment of damage to the cables are obtained using realistic range of vehicle parameters without any bridge response measurements. (4) Through extensive parametric study, the significance of various parameters on the effectiveness of the proposed approach is carefully investigated and discussed.
机译:本文介绍了缆绳座桥中的电缆损坏识别的间接桥梁健康监测(BHM)的首次尝试之一。工作的前提是识别电缆对电缆的持续结构损坏的位置和严重程度,仅通过移动车辆通过桥的移动车辆的振动响应来测量。为此目的,利用有限元(FE)方法并验证,开发了车辆和桥梁之间​​的动态耦合的新配方。此外,所提出的框架,用于获得车辆桥接相互作用(VBI)的框架延伸到大规模的斜拉桥。考虑到由电缆结构刚度的部分和增量变化引起的各种损伤病例,代表由于腐蚀引起的逐渐剖面损失。提出了一种基于经验模式分解(EMD)方案的损伤指数,并通过广泛的数值调查,证明在某些车辆参数下,车辆振动响应不仅能够识别桥梁的遭受损害,而且还在能够识别损坏位置,进一步评估其严重程度。该工作的贡献是四倍:(1)许多现有研究仅关注基于简单支持的Euler-Bernoulli光束理论的桥梁简化模型;然而,本文将VBI框架扩展到大型桥梁结构的三维数值模型,在BHM上下文中很少报道。 (2)通过在静态不确定的缆车座桥上的广泛数值调查证明了该技术的验证。 (3)使用现实范围的车辆参数而没有任何桥梁响应测量,获得了成功的检测,定位和对电缆损坏的评估。 (4)通过广泛的参数研究,各种参数对所提出的方法的有效性的重要性经过仔细研究和讨论。

著录项

  • 来源
    《Engineering Structures》 |2020年第15期|110891.1-110891.26|共26页
  • 作者单位

    Centre for Infrastructure Engineering Western Sydney University NSW 2751 Australia;

    Centre for Infrastructure Engineering and Safety School of Civil and Environmental Engineering University of New South Wales Sydney NSW 2052 Australia Department of Civil & Earth Resource Engineering Graduate School of Engineering Kyoto University Japan;

    Department of Civil & Earth Resource Engineering Graduate School of Engineering Kyoto University Japan;

    Centre for Infrastructure Engineering and Safety School of Civil and Environmental Engineering University of New South Wales Sydney NSW 2052 Australia;

    Centre for Infrastructure Engineering Western Sydney University NSW 2751 Australia;

  • 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

    Vehicle-Bridge Interaction (VBI); Damage identification; Cable-stayed bridge; Bridge Health Monitoring (BHM);

    机译:车桥交互(VBI);损害识别;斜桥;桥梁健康监测(BHM);

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