通过稀疏测量利用车辆诱发的振动响应对铁路桥梁下部结构进行状态监测和定量评估

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Structural Control & Health Monitoring Pub Date : 2024-04-02 DOI:10.1155/2024/3271106
Chuang Wang, Jiawang Zhan, Yujie Wang, Xinxiang Xu, Zhihang Wang
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引用次数: 0

摘要

桥梁下部结构失效是众多桥梁垮塌事故的罪魁祸首,尤其是中小跨度桥梁,因此有效监测桥梁下部结构的性能对于高效维护和管理至关重要。目前,基于振动的桥梁下部结构定量评估方法依赖于使用大量传感器的现场实验或冲击振动测试,这给实施长期在线监测带来了挑战。本文提出了一种精确、低成本且切实可行的方法,只需使用一个振动传感器和列车运行引起的振动响应,即可实现对铁路桥梁下部结构的在线定量监测。新推导的柔性基底季莫申科梁模型以及随机递减技术和 Levenberg-Marquardt-Fletcher 算法被用于识别模态参数和定量评估桥梁下部结构的状况。考虑到不同的损坏情况,通过已建立的三维火车-桥梁-地基耦合系统对所提出的方法进行了数值验证。此外,还在哈尔滨至大连高速铁路松花江二桥上进行了实际应用,旨在检验该方法在完整冻融循环下对桥梁下部结构进行状态监测的有效性和鲁棒性。结果表明,所提出的方法能有效提取桥梁下部结构的模态参数并监测其状态演变,为铁路桥梁下部结构的状态监测和定量评估提供了一种高效、准确的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Condition Monitoring and Quantitative Evaluation of Railway Bridge Substructures Using Vehicle-Induced Vibration Responses by Sparse Measurement

Bridge substructure failure has been responsible for numerous recorded bridge collapses, particularly for small- and medium-span bridges, so it is crucial to effectively monitor the performance of the bridge substructures for efficient maintenance and management. The current vibration-based approaches for quantitatively evaluating bridge substructures rely on in-situ experiments with a multitude of sensors or impact vibration test, making it challenging to implement long-term online monitoring. This paper proposes an accurate, low cost, and practicable method to achieve online quantitative monitoring of railway bridge substructures using only one vibration sensor and operational train-induced vibration responses. The newly derived flexible-base Timoshenko beam models, along with the random decrement technique and Levenberg–Marquardt–Fletcher algorithm, are employed to identify the modal parameters and quantitatively assess the condition of bridge substructures. The proposed method is numerically verified through an established 3D train-bridge-foundation coupling system considering different damage scenarios. In addition, a real-world application is also conducted on the 2nd Songhua River bridge in the Harbin–Dalian high-speed railway, aiming at examining the effectiveness and robustness of the method in condition monitoring of bridge substructure under a complete freeze-thaw cycle. The results indicate that the proposed methodology is effective in extracting the modal parameters and monitoring the state evolution of the bridge substructures, which offers an efficient and accurate strategy for condition monitoring and quantitative evaluation of railway bridge substructures.

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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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