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DAMPING IDENTIFICATION FOR MISTUNED BLISKS

机译:湿疹的阻尼识别

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摘要

A novel structural damping identification method is presented. The approach is robust with respect to measurement noise and makes use of highly effective reduced-order-models (ROMs). Several different methods are currently available for damping identification. Most of these techniques can be grouped into two types based on the nature of the system information that is needed for the damping identification. The first type involves measuring damped eigenvalues and mode shapes, and does not require measurements of the system excitation. The second type involves measuring the forces applied to the system and constructing (full) frequency response functions. In contrast to existing techniques, the proposed method avoids complications involved in measuring damped modal characteristics or applied forces, while identifying structural damping only from displacement or velocity measurements.rnThe focus of this work is identification of damping in systems with high modal density (such as cyclically symmetric systems) exemplified by blisks and bladed disks. First, a novel, general methodology for identifying (uniform) structural damping is presented. This method uses undamped tuned system mode shapes and a minimum of two measurements. Next, a more general methodology is formulated, which incorporates stiffness mistuning and uses ROMs for enhanced robustness and fast calculations.rnValidation of the damping identification is done by comparing the performance of the viscous damping method by Lee et al. with the proposed method. In Lee's method, the complex frequency response function is used to determine a viscous damping matrix. This method is adjusted to identify structural dampingrnwhere the damping matrix is now diagonal. For a low dimensional system and noiseless measurements, both Lee's method and the proposed approach correctly identify the structural damping. Introducing measurement noise causes inaccuracies in the identification results obtained using Lee's method, while the proposed method remains accurate.rnNext, two measurement filters are proposed to further increase the accuracy and robustness of the proposed damping identification by reducing the effect of measurement noise. The first filter applies to measurements which are approximately equal in amplitude and phase although they occur at different frequencies. The second filter removes measurements where the magnitude of the response is low. These filters are implemented for a complex validation structure: a one-piece bladed disk with stiffness mistuning. Simulated forced response measurements are generated by ANSYS and corrupted by noise. Next, measurements of the modal amplitudes and phases for the blisk are obtained through an elaborate and complex process of measurement point selection, mode selection, and data filtering similar to the one associated with mistuning identification. These filtered measurements are then shown to be accurate for use in the novel damping identification methodology.
机译:提出了一种新的结构阻尼识别方法。该方法相对于测量噪声是鲁棒的,并且使用了高效的降阶模型(ROM)。当前有几种不同的方法可用于阻尼识别。根据阻尼识别所需的系统信息的性质,大多数这些技术可以分为两种类型。第一种类型涉及测量阻尼特征值和模式形状,并且不需要测量系统激励。第二类涉及测量施加到系统上的力并构建(完整)频率响应函数。与现有技术相比,该方法避免了在测量阻尼模态特性或作用力时所涉及的复杂问题,而仅通过位移或速度测量来确定结构阻尼。rn该工作的重点是识别高模态密度(例如周期性对称系统),例如叶轮和刀片式磁盘。首先,提出了一种新颖的,通用的识别(均匀)结构阻尼的方法。此方法使用无阻尼的调谐系统模式形状和最少两次测量。接下来,制定了一种更通用的方法,该方法结合了刚度微调,并使用ROM增强了鲁棒性和快速计算能力。通过比较Lee等人的粘性阻尼方法的性能来完成阻尼识别的验证。用建议的方法。在Lee的方法中,复数频率响应函数用于确定粘性阻尼矩阵。调整该方法以识别结构阻尼,此时阻尼矩阵为对角线。对于低维系统和无噪声的测量,Lee的方法和所提出的方法都可以正确识别结构阻尼。引入测量噪声会导致使用Lee方法获得的识别结果不准确,而所提出的方法仍然是准确的。接下来,提出了两个测量滤波器,以通过降低测量噪声的影响来进一步提高所提出的阻尼识别的准确性和鲁棒性。第一个滤波器适用于幅度和相位近似相等的测量,尽管它们以不同的频率出现。第二个滤波器删除响应幅度较低的测量。这些过滤器实现了复杂的验证结构:带有刚性雾化功能的一体式叶片盘。模拟的强制响应测量值由ANSYS生成,并被噪声破坏。接下来,通过与复杂识别有关的测量点选择,模式选择和数据过滤的复杂而复杂的过程,获得了叶状波的模态振幅和相位的测量结果。这些滤波后的测量结果随后被证明在新型阻尼识别方法中是准确的。

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