基于高频压电阻抗谱的钢框架损伤识别研究
PDF下载 (382)王 炜,严 蔚,李万春.基于高频压电阻抗谱的钢框架损伤识别研究[J].宁波大学学报(理工版),2013,26(02):78-82.DOI:
WANG Wei,YAN Wei,LI Wan-chun.Damage Identification for A Steel Frame Based on the High-frequency Piezoelectric Signatures[J].Journal of Ningbo University(Natural Science & Engineering Edition),2013,26(02):78-82.DOI:
| Title: | Damage Identification for A Steel Frame Based on the High-frequency Piezoelectric Signatures |
| 作者: | 王 炜, 严 蔚, 李万春 |
| Author(s): | WANG Wei, YAN Wei, LI Wan-chun |
| 关键词: | 压电阻抗; 结构健康检测; 钢框架; 均方差 |
| Keywords: | electro-mechanical impedance; structural health monitoring; steel frame; root mean square deviation |
| 分类号: | TU328 |
| 文献标识码: | A |
| 摘要: | 采用压电阻抗技术(EMI)对三层钢框架进行了损伤模拟实验, 通过拧松钢框架节点的螺栓来模拟损伤, 测试了钢框架在不同损伤程度下的电导纳值. 并采用均方差(Root Mean Square Deviation, RMSD)、协方差(Covariance)和均方根(Root Mean Square, RMS)作为损伤程度参数指标对实验数据进行了分析, 验证了利用压电阻抗技术进行结构健康检测的有效性, 表明RMSD指标对反映结构损伤程度更准确可靠. |
| Abstract: | An experiment conducted for probing damage detection is conducted for a three-layered steel frame using electro-mechanical impedance (EMI) technique. Damages are introduced by completely loosening bolts over several locations on the structure and then the piezoelectric admittance signatures are obtained under various damage severities. Experimental data are then analyzed by RMSD (Root Mean Square Deviation), Covariance and RMS (Root Mean Square) for damage identification quantitatively. The findings show that the EMI technique integrated with RMSD index can identify the damage severity and location more effectively, and thus the present method can provide a reliable and accurate technique for structural health monitoring. |
| 参考文献 /References: | [1] Park G, Inman D J. Structural health monitoring using piezoelectric impedance measurements[J]. Philosophical Transactions of the Royal Society, 2007, 365:373-392. [2] 王丹生, 朱宏平. 基于波传播和阻抗特性的裂纹梁损伤识别[J]. 振动、测试与诊断, 2005, 25(3):186-189. [3] 孙明清, 李卓球, 侯作富. 压电材料在土木工程结构健康检测中的应用[J]. 混凝土, 2003, 161(3):22-24. [4] 严蔚, 袁丽莉. 回传射线矩阵法含裂纹框架的电阻抗模型[J]. 振动、测试与诊断, 2011, 31(2):212-216. [5] Sun F P, Chaudhry Z, Liang C, et al. Truss structure integrity identification using PZT sensor-actuator[J]. Journal of Intelligent Material Systems and Structures, 1995, 6:134-139. [6] 王丹生, 金柯, 朱宏平. 埋入式压电阻抗传感器水泥封装试验研究[J]. 华中科技大学学报, 2010, 38(4):113- 116. [7] 卢翔, 朱楚为, 章建文, 等. 压电阻抗技术在焊缝裂纹监测中的应用[J]. 南京航空航天大学学报, 2011, 43(2): 205-209. [8] 严蔚, 袁丽莉. 基于高频电阻抗信号与神经网络技术的结构损伤识别研究[J]. 宁波大学学报: 理工版, 2009, 22(4):553-557. [9] Tseng K K H, Naidu A S K. Non-parametric damage detection and characterization using smart piezoceramic material[J]. Smart Materials and Structures, 2002, 11: 317-329. |
| 备注/Memo: | 收稿日期: 2012－11－28. 基金项目: 浙江省自然科学基金（LY12E08005）; 浙江省重点科技创新团队项目（2011R09025-03）. 第一作者: 王 炜（1985－）, 男, 浙江上虞人, 在读硕士研究生, 主要研究方向: 结构健康监测. E-mail: 52402082@qq.com *通信作者: 严 蔚（1968－）, 男, 浙江宁波人, 博士/副教授, 主要研究方向: 结构健康监测. E-mail: yanwei@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
