首页> 外文期刊>Smart structures and systems >Frequency characteristic analysis on acoustic emission of mortar using cement-based piezoelectric sensors
【24h】

Frequency characteristic analysis on acoustic emission of mortar using cement-based piezoelectric sensors

机译:水泥基压电传感器对砂浆声发射的频率特性分析

获取原文
获取原文并翻译 | 示例
           

摘要

Acoustic emission (AE) monitoring was conducted for mortar specimens under three types of static loading patterns (cubic-splitting, direct-shear and pull-out). Each of the applied loading patterns was expected to produce a particular fracture process. Subsequently, the AEs generated by various fracture or damage processes carried specific information on temporal micro-crack behaviors of concrete for post analysis, which was represented in the form of detected AE signal characteristics. Among various available characteristics of acquired AE signals, frequency content was of great interest. In this study, cement-based piezoelectric sensor (as AE transducer) and home-programmed DEcLIN monitoring system were utilized for AE monitoring on mortar. The cement-based piezoelectric sensor demonstrated enhanced sensitivity and broad frequency domain response range after being embedded into mortar specimens. This broad band characteristic of cement-based piezoelectric sensor in frequency domain response benefited the analysis of frequency content of AE. Various evaluation methods were introduced and employed to clarify the variation characteristics of AE frequency content in each test. It was found that the variation behaviors of AE frequency content exhibited a close relationship with the applied loading processes during the tests.
机译:在三种类型的静态载荷模式下(立方劈裂,直接剪切和拉拔)对灰浆样本进行声发射(AE)监测。预计每个施加的载荷模式都会产生特定的断裂过程。随后,由各种断裂或破坏过程产生的声发射携带了关于混凝土的时间微裂纹行为的特定信息,用于后期分析,以检测到的声发射信号特征的形式表示出来。在所获得的AE信号的各种可用特性中,频率含量引起了极大的兴趣。在这项研究中,水泥基压电传感器(作为AE换能器)和家庭编程的DEcLIN监测系统被用于砂浆的AE监测。将水泥基压电传感器埋入砂浆样本后,具有更高的灵敏度和更宽的频域响应范围。水泥基压电传感器在频域响应中的这种宽带特性有利于AE频率含量的分析。介绍了各种评估方法,并采用了每种评估方法来阐明AE频率含量的变化特征。发现在测试过程中,AE频率含量的变化行为与所施加的载荷过程密切相关。

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