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A rapid output-only damage detection method for highway bridges under a moving vehicle using long-gauge strain sensing and the fractal dimension

机译:仅使用长表应变感测和分形尺寸的移动车辆下的高速输出损伤检测方法。

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摘要

Considering the fundamentality of highway bridges in infrastructure, it is essential to monitor their health state during their lifetime. To achieve this goal, this paper presents an output-only damage detection method for highway bridges under a moving vehicle, which is based on the fractal dimension of strain responses measured by long-gauge fibre Bragg grating (FBG) strain sensors. In this method, bridge damage is detected through changes in the normalized fractal dimension curve under intact and damaged states. The method is initially verified to be effective through a numerical case study, and has anti-noise capability. Then, a 1:10 scale bridge-vehicle model system is established. A series of experimental case studies results show that this method can detect bridge damage effectively, and is not affected by vehicle parameters. The method can be used not only for rapid damage detection but also for long-term bridge monitoring without interrupting traffic. (C) 2020 Elsevier Ltd. All rights reserved.
机译:考虑到基础设施的公路桥梁的基础,必须在终生期间监测健康状况。为了实现这一目标,本文提出了一种仅用于移动车辆的高速公路桥的输出损伤检测方法,其基于由长仪光纤布拉格光栅(FBG)应变传感器测量的应变响应的分形尺寸。在该方法中,通过完整和损坏状态下的归一化分形尺寸曲线的变化来检测桥梁损坏。最初通过数值案例研究验证该方法以有效,并且具有抗噪声能力。然后,建立了1:10级桥式车辆模型系统。一系列实验案例研究结果表明,该方法可以有效地检测桥梁损伤,并且不受车辆参数的影响。该方法不仅可以用于快速损坏检测,而且可以用于长期桥梁监控而不会中断流量。 (c)2020 elestvier有限公司保留所有权利。

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