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Effectiveness of the Random Decrement Technique in Modal Identification of Structures Using Ambient Vibration Response

机译:利用环境振动响应的随机减量技术在结构模态识别中的有效性

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The random decrement Technique (RDT) is a time domain procedure, where the structural responses to operational loads are transformed into random decrement functions, which are proportional to the correlation functions of a system's operational responses, which can be considered equivalent to free vibration responses. Ambient vibration test of a structure usually produces noisy response and the existing modal identification techniques often fail to produce accurate results in such case. Due to contamination of ambient vibration with white Gaussian noise, preprocessing may be required to clean up the vibration signal in order to detect the modal properties accurately. In this paper, the Random Decrement Technique is used as a preprocessing technique to remove the redundancy form the data by use of cross correlation in Ambient Vibration test The method has been tested for a steel cantilever beam having a length of 1000 mm rectangular cross section with 10 mm height and 65 mm width. The beam was instrumented with 5 wireless sensors placed at every 200 mm to measure the acceleration response. Both ambient and forced vibration tests were conducted for the beam. As expected, the modal identification method failed when the ambient vibration response was used without preprocessing. When preprocessed with RDT, the ambient vibration response produced modal properties similar to that obtained using forced vibration response.
机译:随机减量技术(RDT)是一种时域过程,其中,对操作负载的结构响应被转换为随机减量函数,该函数与系统操作响应的相关函数成比例,这可以被认为等同于自由振动响应。结构的环境振动测试通常会产生嘈杂的响应,并且在这种情况下,现有的模态识别技术通常无法产生准确的结果。由于高斯白噪声污染了周围的振动,可能需要进行预处理以清除振动信号,以便准确检测模态特性。在本文中,使用随机减量技术作为预处理技术,以通过环境振动测试中的互相关从数据中删除冗余。该方法已针对长度为1000 mm矩形截面的钢悬臂梁进行了测试,高度10毫米,宽度65毫米。该光束在每200 mm处装有5个无线传感器以测量加速度响应。对梁进行了环境和强制振动测试。不出所料,当使用环境振动响应而不进行预处理时,模态识别方法将失败。当使用RDT预处理时,环境振动响应产生的模态特性类似于使用强制振动响应获得的模态特性。

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