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Enhancing Structural Damage Identification Robustness to Noise and Damping With Integrated Bistable and Adaptive Piezoelectric Circuitry

机译:集成双稳态和自适应压电电路,增强结构损伤识别对噪声和阻尼的鲁棒性

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摘要

The accurate and reliable identification of damage in modern engineered structures is essential for timely corrective measures. Vibration-based damage prediction has been studied extensively by virtue of its global damage detection ability and simplicity in practical implementation. However, due to noise and damping influences, the accuracy of this method is inhibited when direct peak detection (DPD) is utilized to determine resonant frequency shifts. This research investigates an alternative method to detect frequency shifts caused by structural damage based on the utilization of strongly nonlinear bifurcation phenomena in bistable electrical circuits coupled with piezoelectric transducers integrated with the structure. It is shown that frequency shift predictions by the proposed approach are significantly less susceptible to error than DPD when realistic noise and damping levels distort the shifting resonance peaks. As implemented alongside adaptive piezoelectric circuitry with tunable inductance, the new method yields damage location and severity identification that is significantly more robust and accurate than results obtained following the DPD approach.
机译:准确,可靠地识别现代工程结构中的损坏对于及时采取纠正措施至关重要。基于振动的损伤预测具有全局损伤检测能力并且在实际操作中简单易行,因此已经得到了广泛的研究。但是,由于噪声和阻尼的影响,当使用直接峰值检测(DPD)来确定谐振频率偏移时,该方法的准确性受到了限制。这项研究研究了一种替代方法,该方法基于对双稳态电路中强非线性分叉现象的利用,并结合了与该结构集成在一起的压电换能器,来检测由结构损坏引起的频移。结果表明,当实际的噪声和阻尼水平使移位的共振峰失真时,所提出的方法进行的频移预测比DPD明显不易出错。与具有可调电感的自适应压电电路一起实施时,该新方法可产生损伤位置和严重性,与DPD方法获得的结果相比,鲁棒性和准确性明显更高。

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