首页> 外文期刊>Journal of aerospace engineering >Interfacial Adhesion-Strength Detection of Structural Silicone Sealant for Hidden Frame-Supported Glass Curtain Wall Based on Nonlinear Ultrasonic Lamb Wave
【24h】

Interfacial Adhesion-Strength Detection of Structural Silicone Sealant for Hidden Frame-Supported Glass Curtain Wall Based on Nonlinear Ultrasonic Lamb Wave

机译:基于非线性超声波兰姆波的隐框玻璃幕墙结构有机硅密封胶的界面粘合强度检测

获取原文
获取原文并翻译 | 示例
       

摘要

Degradation of interfacial adhesive strength is the main reason for failure of the hidden frame-supported glass curtain wall that is now widely used in the construction field. In this paper, a nonlinear ultrasonic Lamb wave detection method was developed for hidden frame-supported glass curtain walls. Both theoretical and experimental studies were carried out to verify the feasibility of the method. First, an excitation signal modulated by the Hanning window was generated through piezoceramic transducers. The artificial intervention of thermal aging was applied to accelerate the degradation of the interfacial adhesion strength, and the reflection signal of different aging periods was obtained. Then, two methods of discrete Fourier transform (DFT) and wavelet packet decomposition were used to feature extraction, and normalization and regression analysis were adopted to compare two methods more reasonably. The experiment results show that the amplitude integral method using the second-order relative nonlinear coefficient can reflect the interfacial adhesion strength sensitively, whereas the variation curve of the third-order relative nonlinear coefficient was not obvious. The result of the wavelet packet energy method was close to the amplitude integral method and consistent with reality. The second-order relative nonlinear coefficient fluctuated over a small range at first; then there was a decline, and it finally increased with the thermal aging time. However, the mean squared error (MSE) of the wavelet energy method was smaller. The wavelet packet energy method is more accurate and has a higher allowable error ability in characterizing the trends.
机译:界面粘合强度的下降是目前在建筑领域中广泛使用的隐藏式框架支撑玻璃幕墙失效的主要原因。本文提出了一种用于隐藏式框架支撑玻璃幕墙的非线性超声波兰姆波检测方法。进行了理论和实验研究,以验证该方法的可行性。首先,通过压电陶瓷换能器产生由汉宁窗调制的激励信号。通过人工热老化来加速界面粘结强度的下降,获得了不同老化周期的反射信号。然后,采用离散傅里叶变换和小波包分解两种方法进行特征提取,并通过归一化和回归分析比较两种方法。实验结果表明,采用二阶相对非线性系数的振幅积分方法可以较敏感地反映界面黏附强度,而三阶相对非线性系数的变化曲线不明显。小波包能量法的结果接近于振幅积分法,与实际相符。首先,二阶相对非线性系数在很小的范围内波动;然后下降,最后随着热老化时间的增加而增加。但是,小波能量方法的均方误差(MSE)较小。小波包能量方法更准确,并且在表征趋势时具有较高的允许误差能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号