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On the Operational Modal Analysis Techniques for the estimate of modal parameters of aircraft structures during flying vibration tests

机译:飞行振动试验中飞机结构模态参数估计的运行模态分析技术

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Operational Modal Analysis (OMA) for modal identification is currently expanding from the civil to the aerospace engineering Field. This is due to the capability to extract modal parameters from operational conditions with a non-deterministic input, even though assumed random in space and time. Thus, no assumptions shall be made on the boundary conditions for the structure under test, since those are actual in service. Furthermore, the need for a random excitation source could be easily satisfied in flight, setting the aircraft in a straight and level, stationary condition. These peculiarities are fostering the interest in OMA for flutter testing applications. Nevertheless, when compared to classical Flight Vibration Testing techniques, OMA is more sensitive to measurement chain noise and sensors quantity. In this paper, frequency and time domain OMA techniques are applied, and their effectiveness evaluated on simulated random response data generated from the Finite Element Model of a typical high-performance aircraft wing, the AGARD 445.6. Optimal sensors positions are identified for an increasing number of measurement points. Natural frequencies and mode shapes are identified with different OMA techniques and compared to the true data source, even introducing output noise components.
机译:用于模态识别的操作模态分析(OMA)当前正从土木工程扩展到航空工程领域。这是由于即使假定时空随机,也可以使用不确定的输入从运行条件中提取模态参数。因此,不得对被测结构的边界条件做出任何假设,因为这些假设是实际使用的。此外,在飞行中可以容易地满足对随机激发源的需求,从而使飞机处于笔直且水平的静止状态。这些特性正在激发OMA在颤动测试应用中的兴趣。但是,与传统的飞行振动测试技术相比,OMA对测量链噪声和传感器数量更为敏感。在本文中,应用了频域和时域OMA技术,并根据由典型高性能机翼AGARD 445.6的有限元模型生成的模拟随机响应数据评估了其有效性。针对越来越多的测量点,确定了最佳传感器位置。使用不同的OMA技术识别固有频率和模式形状,并将其与真实数据源进行比较,甚至引入输出噪声成分。

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