乐音准则法及其在结构损伤诊断中的应用研究

刘红彪; 郭迅; 李国东

振动与冲击 ›› 2011, Vol. 30 ›› Issue (10) : 254-259.

PDF(2437 KB)
PDF(2437 KB)
振动与冲击 ›› 2011, Vol. 30 ›› Issue (10) : 254-259.
论文

乐音准则法及其在结构损伤诊断中的应用研究

  • 刘红彪; 郭迅; 李国东
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Musical tone law method and its application in structural damage detection

  • LIU Hong-biao; GUO Xun; LI Guo-dong
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摘要

为了寻求一种简便、高效的结构损伤识别方法,组织实施了瓷盘、钢壳及5层钢框架的模型试验,根据试验结果,提出了一种基于欧姆听觉定律的结构损伤识别方法,即“乐音准则法”。该方法对于诊断均匀、规整的一维(杆、索)或二维(板、壳)结构的损伤十分有效。试验结果表明,均匀、规则结构的固有振动频谱具有与乐音相类似的特征,在其发生损伤后,固有振动频谱发生明显变化,据此定义了“乐音准则法”。试验证明,该方法对识别瓷盘损伤敏感有效;对钢壳径向损伤有效,对环向损伤不敏感,主要原因是环向损伤对壳体结构刚度影响较小。在5层钢框架的损伤识别试验中,根据乐音准则法,首次提出运用频率比作为结构损伤诊断指标,成功地识别出了结构损伤。

Abstract

In order to find out a handy and effective method in structural damage detection, plate, steel shell and five stories steel frame structure model tests are carried out. Based on experiment results and Ohm’s auditory law, Musical Tone Law Method (MTLM) in structural damage detection is proposed. This method is effective for symmetrical structure in structural damage detection, such as framed structure, cable structure, shell structure, and so on. It is clear that Fourier spectrum of symmetrical structure is similar to musical tone’s according to the model tests. That is just the fundament theory of MTLM. Model tests prove that MTLM is effective in detecting damage of China disk and radial damage of steel shell. However, it is invalid for circular damage of steel shell, and the dominating causation is that circular damage makes stiffness of steel shell decrease little. In the damage detection test of five stories steel frame structure, it is first time to use the frequency ratio as diagnostic parameter in structural damage detection filed, and damage was detected successfully.

关键词

乐音准则法 / 结构损伤诊断 / 振动测试 / 频谱分析 / 钢壳

Key words

musical tone law method / structural damage detection / vibration measurement / spectrum analysis / steel shell

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导出引用
刘红彪; 郭迅; 李国东. 乐音准则法及其在结构损伤诊断中的应用研究[J]. 振动与冲击, 2011, 30(10): 254-259
LIU Hong-biao; GUO Xun; LI Guo-dong. Musical tone law method and its application in structural damage detection [J]. Journal of Vibration and Shock, 2011, 30(10): 254-259

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