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Numerical Study of Structural Change Estimation in a Rotor System Based on Changes in Resonance and Antiresonance Frequencies

机译:基于谐振和反谐振频率变化的转子系统结构变化估计数值研究

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A structural change quantification methodology is explored in which the magnitude and location of a structural alteration is identified in a rotor system. The proposed structural alterations may be interpreted as physical damage to a structure, in efforts of advancing structural health monitoring activities. The structural change quantification strategy involves the use of resonance and antiresonance frequencies which are collected from several transfer functions calculated from a finite element rotor model. These values are collected and included in an objective function which outputs an error value that is subsequently minimized. The resulting objective contains sufficient information to identify the dynamic characteristics of the rotor in both the frequency and spatial domains. A finite element model with carefully selected tunable parameters is iteratively adjusted using a numerical optimization algorithm to determine the source of the structural change. The numerical studies presented in this work utilize a generic rotor model with features such as a hollow shaft, two ball bearings, several disks, and multiple material layers. The method used for structural excitation is assumed to utilize magnetic actuators for nonintrusive operations. First, the investigations optimize the objective function using a hybrid optimization approach which applies both the NSGA-Ⅱ genetic and the Nelder-Mead optimization algorithms. The objective function is optimized to maximize the sensitivity of the rotor's finite elements to detect structural change. Second, a simulated local structural change is implemented in which the detection methodology is employed to locate. An investigation of the effect of error in the simulated data on the prediction's accuracy is addressed.
机译:探索了结构改变量化方法,其中在转子系统中识别结构改变的幅度和位置。拟议的结构改变可以被解释为对结构的物理损害,以促进结构健康监测活动的努力。结构变化量化策略涉及使用由来自有限元转子模型计算的若干传递函数收集的谐振和反谐振频率。这些值被收集并包括在目标函数中,该函数输出随后最小化的误差值。得到的目标包含足够的信息以在频率和空间域中识别转子的动态特性。使用数值优化算法迭代调整具有精​​心选择的可调参数的有限元模型,以确定结构变化的源。本工作中提出的数值研究利用通用转子模型,其中具有空心轴,两个滚珠轴承,多个盘和多个材料层。假设用于结构激励的方法用于利用用于非流体操作的磁致动器。首先,调查使用混合优化方法优化目标函数,该方法应用NSGA-Ⅱ遗传和Nelder-Mead优化算法。客观函数经过优化,可最大化转子有限元的灵敏度来检测结构变化。其次,实施了模拟的局部结构改变,其中使用检测方法来定位。解决了对预测准确性的模拟数据中误差效果的研究。

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