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首页> 外文期刊>Mechanical systems and signal processing >Piezoelectric sensing and non-parametric statistical signal processing for health monitoring of hysteretic dampers used in seismic-resistant structures
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Piezoelectric sensing and non-parametric statistical signal processing for health monitoring of hysteretic dampers used in seismic-resistant structures

机译：压电感应和非参数统计信号处理，用于抗震结构中的磁滞阻尼器健康监测

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The paper proposes a new application of non-parametric statistical processing of signals recorded from vibration tests for damage detection and evaluation on Ⅰ-section steel segments. The steel segments investigated constitute the energy dissipating part of a new type of hysteretic damper that is used for passive control of buildings and civil engineering structures subjected to earthquake-type dynamic loadings. Two Ⅰ-section steel segments with different levels of damage were instrumented with piezoceramic sensors and subjected to controlled white noise random vibrations. The signals recorded during the tests were processed using two non-parametric methods (the power spectral density method and the frequency response function method) that had never previously been applied to hysteretic dampers. The appropriateness of these methods for quantifying the level of damage on the Ⅰ-shape steel segments is validated experimentally. Based on the results of the random vibrations, the paper proposes a new index that predicts the level of damage and the proximity of failure of the hysteretic damper.
机译：本文提出了一种将振动试验记录的信号进行非参数统计处理的新应用，以用于Ⅰ型钢段的损伤检测和评估。所研究的钢段构成了新型磁滞阻尼器的耗能部分，该磁滞阻尼器用于被动控制建筑物和土木工程结构，使其承受地震型动态载荷。用压电陶瓷传感器对两个损伤程度不同的Ⅰ型钢段进行了测量，并对其进行了受控的白噪声随机振动。使用两种非参数方法（功率谱密度方法和频率响应函数方法）处理了测试期间记录的信号，该方法以前从未应用于磁滞阻尼器。实验证明了这些方法对量化Ⅰ型钢段损伤程度的适用性。基于随机振动的结果，本文提出了一种新的指标，该指标可预测磁滞阻尼器的损坏程度和失效程度。

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