Hinge Joints Performance Assessment of a PC Hollow Slab Bridge Based on Impact Vibration Testing

Q. Xia, Yi-chen Zhou, Yuyao Cheng, Jian Zhang
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引用次数: 1

Abstract

Hinge joint performance during the operation of prefabricated prestressed concrete (PC) hollow slab bridges is critical to ensure their lateral collaborative working condition and safe serviceability. Traditional performance identification of hinge joints mainly relies on manual inspection, which is inefficient and inaccurate. At the same time, existing indexes (such as acceleration and strain) can only qualitatively detect the damage to hinge joints. This study proposes a novelty detection method based on impact vibration testing to rapidly perform the quantitative assessment of the working condition of the hinge joints. The relationship between hinge joint performance and lateral load distribution (LLD) is first derived in detail by theoretical analysis. And then, the quantitative analysis of collaborative performance is converted to the identification of the LLD influence line, which is innovatively established by the lateral flexibility of the hollow slab bridge. The effectiveness of the proposed method is verified through a multibeam model using ABAQUS software, and the lateral collaborative working relationship between slabs is simulated using the connector elements. Furthermore, the LLD influence lines and hinge joints performance of a PC hollow slab Yanhu Bridge are evaluated based on the impact vibration testing with sensor lateral arrangement strategy. The detection results show that the proposed method can quickly and accurately identify the damage location and the stiffness loss of hinge joints.
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基于冲击振动试验的PC空心板桥铰缝性能评价
预制预应力混凝土空心板桥的铰缝性能是保证桥梁横向协同工作状态和安全使用的关键。传统的铰链接头性能识别主要依靠人工检测,效率低且不准确。同时,现有的指标(如加速度和应变)只能定性地检测铰节点的损伤情况。本研究提出了一种基于冲击振动试验的新颖性检测方法,可快速定量评估铰链接头的工作状态。首先通过理论分析,详细推导了铰节点性能与横向荷载分布的关系。然后,将协同性能的定量分析转化为LLD影响线的识别,创新地建立了基于空心板桥横向柔性的LLD影响线。利用ABAQUS软件建立了多梁模型,验证了该方法的有效性,并利用连接单元模拟了板间横向协同工作关系。基于传感器横向布置的冲击振动试验,对PC空心板延湖大桥LLD影响线及铰节点性能进行了评价。检测结果表明,该方法能够快速准确地识别出铰节点的损伤位置和刚度损失。
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