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A computer vision-based vibration measurement method for wind tunnel tests of high-rise buildings

机译:基于计算机视觉振动测量方法,用于高层建筑的风洞试验

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摘要

This paper presents a computer vision-based vibration measurement (VVM) method for wind tunnel tests of typical aeroelastic high-rise building models. After reviewing the existing vision-based measurement techniques, an advanced object-tracking algorithm, so called the template-corner algorithm, is developed to achieve more accurate vibration measurements in wind tunnel setups. Based on the newly developed object-tracking algorithm, the proposed VVM method can measure wind-induced dynamic displacements and acceleration responses, as well as identify dynamic model characteristics. The method is cost effective and can acquire all horizontal responses at the top plane of the building model under various wind angle conditions using only one complementary metal-oxide-semiconductor (CMOS) camera, with significant flexibility and adequate resolutions. A free vibration test and a series of wind tunnel tests for a typical aeroelastic high-rise building model were conducted to validate the proposed vision-based method. The results obtained from the proposed method were carefully compared with those from conventional measurement techniques using a laser displacement sensor and an accelerometer. The comparison results confirm the accuracy and feasibility of the VVM method for obtaining wind-induced dynamic responses of aeroelastic tall building models.
机译:本文提出了一种基于计算机视觉的振动测量(VVM)典型空气弹性高层建筑模型的风洞测试方法。在审查现有的基于视觉的基于视觉的测量技术之后,开发了一种先进的对象跟踪算法,即称为模板 - 角算法,以实现风洞设置中的更准确的振动测量。基于新开发的对象跟踪算法,所提出的VVM方法可以测量风引起的动态位移和加速响应,以及识别动态模型特征。该方法具有成本效益,并且可以仅使用一个互补金属氧化物半导体(CMOS)相机在各种风角条件下在建筑模型的顶部平面上获取所有水平响应,具有显着的灵活性和足够的分辨率。进行自由振动试验和一系列风洞测试,用于典型的空气弹性高层建筑模型,以验证所提出的基于视觉的方法。使用激光位移传感器和加速度计与来自常规测量技术的方法进行仔细比较从所提出的方法获得的结果。比较结果证实了VVM方法的准确性和可行性,用于获得空气弹性高层建筑模型的风引起的动态响应。

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