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Amplifying damage signature in periodic structures using enhanced piezoelectric networking with negative resistance elements

机译:使用带有负电阻元件的增强型压电网络,放大周期性结构中的损伤特征

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Spatially periodic structures, such as bladed disks, are widely used as components in rotating machines. The recent advent of blade-tip-timing sensing technique has allowed the extraction of vibratory response information of blades during rotation for damage detection purposes. The decision making in damage detection of a periodic structure based on such measurement, however, is difficult primarily because of the clustered natural frequencies and high modal density, which is further complicated by inevitable structural uncertainty/variation. Our underlying idea is to integrate piezoelectric transducers together with circuitry elements onto the periodic structure to alter its dynamic characteristics during the inspection stage to improve the sensitivity and robustness of vibration-based damage detection. In particular, it has been identified that a properly designed piezoelectric inductive circuitry can amplify the response anomaly under external excitation. Such amplification nevertheless diminishes as the mechanical damping in the periodic structure increases. In this research, it is shown that the adverse effect of mechanical damping to anomaly amplification can be effectively reduced, by incorporating negative resistance elements into the piezoelectric circuitry network. The negative resistance elements are synthesized using operational amplifier circuits and can offset the mechanical damping through the dynamic interaction between the piezoelectric circuitry and the host structure. The stability boundary of the negative resistance integration is identified, where the frequency-dependent inherent resistance of the piezoelectric transducer is taken into consideration explicitly. The effectiveness of the enhanced circuitry network for amplifying damage signature in periodic structures under large damping is illustrated with detailed case studies.
机译:空间周期性结构,例如叶片盘,被广泛用作旋转机器中的组件。叶片尖端正时感测技术的最新出现允许提取旋转过程中叶片的振动响应信息,以进行损伤检测。但是,基于这种测量的周期性结构损伤检测的决策主要是困难的,这主要是由于聚集的固有频率和高模态密度,不可避免的结构不确定性/变化又使这种复杂性进一步复杂化。我们的基本思想是将压电传感器与电路元件集成到周期性结构上,以在检查阶段改变其动态特性,以提高基于振动的损伤检测的灵敏度和鲁棒性。特别地,已经确定适当设计的压电感应电路可以放大外部激励下的响应异常。然而,随着周期性结构中的机械阻尼增加,这种放大减小。在这项研究中表明,通过将负电阻元件合并到压电电路网络中,可以有效地减少机械阻尼对异常放大的不利影响。负电阻元件是使用运算放大器电路合成的,可以通过压电电路和主体结构之间的动态相互作用来抵消机械阻尼。确定了负电阻积分的稳定性边界,其中明确考虑了压电换能器的频率相关固有电阻。详细的案例研究说明了增强电路网络在大阻尼下放大周期性结构中损伤特征的有效性。

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