行波激励下整体叶片转子模态辨识

Joseph A. Beck, Jeffrey M. Brown, Daniel L. Gillaugh, A. Kaszynski
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引用次数: 0

摘要

现场整体叶片转子(IBR)的安全性通常是通过振动测试来评估的。由于各种类型的激励响应被测量和处理,并可以输入到后续的分析,如失谐识别。其中一种激励技术是行波激励(TWE),其中所有叶片同时以相位差进行激励,试图复制自然发生的模态形状和某些操作条件。该测试依赖于非接触式激励器,例如磁铁和扬声器,通常不直接测量。因此,在没有频响函数的情况下,用频响函数拟合技术提取系统模态数据是不可能的。本文提出了一种利用TWE试验的实测响应的方法。结果表明,在规定的频率范围内,TWE输入的快速傅里叶变换(FFT)基本上是独立的。因此,输出谱密度矩阵可以在操作模态分析(OMA)意义上公式化,其中不需要直接测量输入。然后根据在单次测试中获得的每个叶片的单次测量得出全谱密度矩阵,从而减少了测量位置和测试激励条件的数量。该矩阵是由多参考-最小二乘复频域(P-LSCF)系统识别技术量身定制的oma类型的测量拟合。使用不同阻尼水平的IBR模型的模拟TWE数据对该方法进行了测试。将已识别的模态数据与用于创建模型的模态数据进行比较,结果表明,即使对于ibr常见的间隔很近的模态,该方法也能准确地预测底层系统信息。最后,将该方法应用于某工业IBR的TWE实验数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modal Identification for Integrally Bladed Rotors Under Traveling Wave Excitation
The safety of a fielded Integrally Bladed Rotor (IBR) is often assessed through vibration testing. Responses due to various types of excitation are measured and processed and can be inputs to follow-on analyses, such as mistuning identification. One such excitation technique is the Traveling Wave Excitation (TWE) where all blades are simultaneously excited at phase differences that attempt to replicate naturally occurring mode shapes and certain operating conditions. This test relies on non-contact exciters, e.g. magnets and speakers, that are often not directly measured. As a result, formulating the Frequency Response Function (FRF) is difficult and the extraction of system modal data using FRF fitting techniques in the absence of FRFs is not possible. This paper presents an approach to use measured responses from TWE tests. It is shown that the Fast Fourier Transform (FFT) of the TWE inputs are mostly independent over the prescribed frequency range. Consequently, the output spectral density matrix can be formulated in an Operational Modal Analysis (OMA) sense, where direct measurement of the inputs is not needed. A full spectral density matrix is then formulated from a single measurement on each blade obtained during a single test, thus reducing the number of measurement locations and testing excitation conditions. This matrix is fit by a Polyreference-Least Squares Complex Frequency-domain (P-LSCF) system identification technique tailored for OMA-type measurements. The methodology is tested using simulated TWE data for an IBR model using different damping levels. Comparisons between identified modal data and those used to create the model are made and show the methodology accurately predicts underlying system information even for closely-spaced modes that are common to IBRs. Finally, the method is used on experimental TWE data of an industrial IBR.
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