【24h】

Plate Damage Identification using Up-converted Chaotic Excitations

机译:使用上转换混沌激励识别板损伤

获取原文
获取原文并翻译 | 示例

摘要

Lamb waves have been widely used as an efficient means of detecting damage in plate-like structures. Numerous signal-processing techniques are available for evaluating and processing measured Lamb waves for damage identification. In this study, we investigated the use of a novel excitation that is created by frequency up-con version of a standard Lorenz chaotic signal into the acoustic regime. Recent research has shown that high frequency chaotic excitation and state space reconstruction may be used to identify incipient damage (loss of preload) in a bolted joint. In this study, an experiment is undertaken using an aluminum plate with an array of piezoceramic patches bonded to one side. Damage is initiated through the process of electrolytic corrosion. A novel spatio-temporal prediction error algorithm is used to determine the existence, location, and extent of damage. This paper summarizes considerations needed to design such a damage identification system, experimental procedures and results, and additional issues that can be used as a guideline for future investigation.
机译:兰姆波已被广泛用作检测板状结构中损坏的有效手段。多种信号处理技术可用于评估和处理测得的兰姆波,以进行损伤识别。在这项研究中,我们调查了通过将标准Lorenz混沌信号的频率上转换版本转换为声学状态而创建的新型激励的使用。最近的研究表明,高频混沌激励和状态空间重构可用于识别螺栓连接中的初期损坏(预载荷损失)。在这项研究中,使用铝板进行了一项实验,该铝板的一侧结合了一系列压电陶瓷贴片。损坏是通过电解腐蚀过程引发的。一种新颖的时空预测误差算法用于确定损坏的存在,位置和程度。本文总结了设计此类损坏识别系统,实验程序和结果以及可作为将来调查指南的其他问题所需的考虑因素。

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