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Implementation of video motion magnification technique for non-contact operational modal analysis of light poles

机译:光杆非接触式运行模态分析视频运动倍率技术的实现

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Damages on lights and utility poles mounted on the elevated highway or railway bridges were observed in the past several large earthquakes. The damages could have serious consequences to public safety, travelling vehicles or trains, and nearby properties. A previous study shows that the damages were caused by buckling and yielding of the pole due to excessive response amplification during large earthquake. Such amplification occurs when the bridge's natural frequency is close to the light pole's fundamental frequency. An investigation of the seismic performance of existing light pole mounted on elevated highway bridges is needed to avoid the response amplification. This includes the identification of the light pole's natural frequency and damping ratio. Vibration testing of the light pole using conventional contact sensors individually would require enormous effort and is time-consuming. Moreover, such vibration testing on a highway bridge deck would require traffic disruption to provide access. Video camera-based non-contact vision sensing is seen as a promising alternative to the conventional contact sensors for this purpose. The objective of this paper is to explore the use of non-contact vision sensing for operational modal analysis of light pole on highway viaduct. The phase-based video motion magnification method is implemented to obtain the light pole response in an ambient condition. Using this method, small and invisible displacement is magnified for a certain range of frequency of interest. Based on the magnified video frames, structural displacement is extracted using the image processing technique. The natural frequency and damping ratio of the light pole are estimated using the random decrement technique. The method is verified in a laboratory-scale experiment and implemented to practical field measurements of a light pole on a highway viaduct in Kanagawa, Japan. The results are compared with measurement by Laser Doppler Vibrometer. Both experiments suggest that the method could effectively obtain the natural frequency and damping ratio of the structures under the ambient condition where vibration amplitudes are very small and invisible with reasonable accuracy.
机译:在灯和电线杆上安装损害高架公路上或在过去的数次大地震中观察到铁路桥。该损害可能有公众安全,旅游车辆或火车,和附近的性质严重的后果。先前的研究表明,损害被扭曲和极的产生是由于大地震过程中的过度反应造成的放大。当桥的固有频率接近灯杆的基本频率发生这样的放大。需要的现有安装在高架公路桥灯杆抗震性能的调查,以避免响应扩增。这包括灯杆的自然频率和阻尼比的识别。使用常规的接触式传感器的光极的振动测试单独将需要巨大的努力和耗时。此外,在高速公路桥面振动等试验将要求交通中断提供访问。视频基于相机的非接触式视觉传感被看作是一个有希望的替代方案用于此目的的常规的接触式传感器。本文的目的是探讨使用非接触感测视野为光极的公路高架桥工作模态分析。基于相位的视频运动放大方法被实现,以获得在环境条件下的光极点响应。使用这种方法,小和不可见的位移被放大为一定范围内的感兴趣的频率。基于所述放大的视频帧,结构位移是使用图像处理技术提取。的固有频率和所述光极的阻尼比所使用的随机减量法估计。该方法在实验室规模的试验验证和实施,以在日本神奈川县公路高架桥灯杆的实际现场测量。结果与激光多普勒测振仪的测量比较。两个实验表明,该方法可以有效地获得的固有频率和环境条件下的结构,其中振动振幅非常小,并且以合理的精度不可见的阻尼比。

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