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Assessment of acceleration responses of a railway bridge using wavelet analysis

机译:基于小波分析的铁路桥梁加速度响应评估

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摘要

One of more effective and practical ways in Structural Health Monitoring (SHM) is assessing structural movements and detecting corresponding damages in both time and frequency domains. Recently, the wavelet analysis has been used widely in many engineering applications, e.g., SHM, damage detection, and simulation of earthquake ground motions. In this study, the wavelet analysis in one and two dimensions is applied to investigate and assess the movement behavior of a high-speed train railway bridge using the acceleration measurements. Moreover, the wavelet analysis is used to evaluate the degree of correlation between different acceleration measurement points under the different passage train speeds. The high-speed train railway bridge is a double track steel box girder bridge with 50 m length. The high-speed train was controlled to pass over the bridge with four different speeds, i.e. 290, 360, 400, and 406 km/hr. Furthermore, two train passage cases were considered to examine the main girder's deformation behavior under loaded and unloaded railway tracks simultaneously. The results show that the wavelet analysis proves to be an efficient tool to investigate the frequency content of the acceleration measurements. Finally, the unloaded track suffers more vibration than the loaded track particularly when increasing the train speed.
机译:在结构健康监测(SHM)中,一种更有效和实用的方法是评估结构运动并检测时域和频域的相应破坏。最近,小波分析已被广泛用于许多工程应用中,例如SHM,损伤检测和地震地震动模拟。在这项研究中,应用一维和二维小波分析来研究和评估使用加速度测量值的高速火车铁路桥梁的运动行为。此外,小波分析用于评估在不同的列车速度下不同加速度测量点之间的相关程度。高速铁路铁路桥梁是长度为50 m的双线钢箱梁桥。控制高速列车以四种不同的速度,即290、360、400和406 km / hr越过桥梁。此外,考虑了两个列车通过案例,以同时检查主梁在有载和无载铁路轨道下的变形行为。结果表明,小波分析被证明是研究加速度测量频率内容的有效工具。最后,特别是在增加火车速度时,空载的轨道比空载的轨道遭受更大的振动。

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