| 基于动力响应的特高压变压器套管地震实时损伤识别 |
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| 引用本文： | 陆军,朱旺,谢强.基于动力响应的特高压变压器套管地震实时损伤识别[J].西北地震学报,2022,44(6):1325-1331. |
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| 作者姓名： | 陆军 朱旺 谢强 |
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| 作者单位： | 同济大学土木工程学院,上海 200092 |
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| 基金项目： | 国家自然科学基金课题(51878508) |
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| 摘 要： | 特高压变压器套管具有较高的地震易损性,为研究其在地震过程中出现结构损伤的识别问题,基于改进的希尔伯特黄变换算法提出一种利用设备加速度响应信号进行实时损伤识别的方法. 采用高通滤波以及集合经验模态分解提取信号的异常高频成分;然后将其作为损伤特征,定义高频能量比用于损伤定位;最后通过数值算例模拟不同损伤工况下结构的地震响应,验证所提损伤识别方法的准确性.研究表明,地震过程中结构突发损伤会使加速度响应信号中产生瞬时高频成分;信号中瞬时高频成分的能量大小与采集点到损伤位置的距离有关,距离越近瞬时高频成分的能量量级越大.所提方法仅需结构的加速度响应作为算法输入即可实现损伤判定和损伤定位,数据需求简单.
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| 关 键 词： | 特高压套管 地震响应 集合经验模态分解 损伤识别 |
Real-time seismic damage detection for ultrahigh voltage transformer bushings based on dynamic responses |
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| LU Jun,ZHU Wang,XIE Qiang.Real-time seismic damage detection for ultrahigh voltage transformer bushings based on dynamic responses[J].Northwestern Seismological Journal,2022,44(6):1325-1331. |
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| Authors: | LU Jun ZHU Wang XIE Qiang |
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| Institution: | College of Civil Engineering,Tongji University,Shanghai 200092 ,China |
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| Abstract: | Ultrahigh voltage (UHV) transformer bushings have high seismic vulnerability. A realtime damage detection method is proposed on the basis of acceleration response signals of the bushing in this study to investigate damage detection for bushings when structural damage occurs under earthquakes. High-pass filtering and ensemble empirical mode decomposition were used to extract abnormal high-frequency components of signals as damage characteristics, and the highfrequency energy ratio was defined for the damage localization. A numerical case was conducted to simulate seismic responses of the structure under different damage scenarios, and the accuracy of the proposed method was verified. Research results show that the sudden damage to the structure during the earthquake will produce instantaneous high-frequency components in the acceleration response signal. The energy of instantaneous high-frequency components in the signal is related to the distance from the sampling point to the damage location. The energy will increase when the sampling point is close to the damaged location. Additionally, the data input of the proposed method includes acceleration responses of the structure for damage identification and localization, which are simple data types. |
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