School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan, 430074, China.
Sensors (Basel). 2018 Jul 8;18(7):2199. doi: 10.3390/s18072199.
This paper presents a novel structural damage detection indicator, i.e., fourth-order voltage statistical moment (FVSM) based on the electromechanical impedance (EMI) principle, and then proposes a two-step damage detection method based on the novel indicator and a differential evolution algorithm (DEA). In this study, several lead zirconate titanate (PZT) sensors bonded to an experimental steel beam were utilized to acquire the time-domain voltage responses. On this basis, the fourth-order voltage statistical moments (FVSMs) of the voltage responses are computed to locate the damage element in the detected structure, and the proposed damage detection method is utilized to quantify the damage. In addition, theoretical PZT voltage responses are also calculated based on the piezoelectric theory and the spectral element method (SEM). Experimental results verify the accuracy of the theoretical voltage values and the effectiveness of the proposed damage indicator. Results indicate that the FVSM is effective in locating the damage element. Integrated with DEA, the proposed technique is capable of quantifying damage.
本文提出了一种基于机电阻抗（EMI）原理的新型结构损伤检测指标，即四阶电压统计矩（FVSM），然后提出了一种基于新型指标和差分进化算法（DEA）的两步损伤检测方法。在本研究中，使用了几个粘贴在实验钢梁上的锆钛酸铅（PZT）传感器来获取时域电压响应。在此基础上，计算电压响应的四阶电压统计矩（FVSM），以定位检测结构中的损伤元件，并利用提出的损伤检测方法对损伤进行量化。此外，还基于压电理论和谱元法（SEM）计算了理论 PZT 电压响应。实验结果验证了理论电压值的准确性和所提出的损伤指标的有效性。结果表明，FVSM 能够有效地定位损伤元件。与 DEA 集成，提出的技术能够定量损伤。
