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基于振型数据的蜂窝夹芯板损伤检测
引用本文:张英杰,颜云辉,李永强,何永亮. 基于振型数据的蜂窝夹芯板损伤检测[J]. 东北大学学报(自然科学版), 2012, 33(3): 418-421,452. DOI: -
作者姓名:张英杰  颜云辉  李永强  何永亮
作者单位:1. 东北大学机械工程与自动化学院,辽宁沈阳110819/东北大学理学院,辽宁沈阳110819
2. 东北大学机械工程与自动化学院,辽宁沈阳,110819
3. 东北大学理学院,辽宁沈阳,110819
基金项目:国家自然科学基金资助项目,国家高技术研究发展计划项目
摘    要:以含有结构损伤的四边简支铝制蜂窝夹芯板为研究对象,采用锤击法模态实验提取损伤蜂窝夹芯板的振型数据,并针对蜂窝夹芯板上不同位置、不同程度的损伤,分别采用振型差值、曲率模态和高斯曲率模态三种损伤识别方法进行识别.结果表明:在四边简支铝制蜂窝夹芯板中存在损伤时,结构损伤位置处的振型差值比较明显,说明采用振型差值法对结构损伤进行识别可以准确判定损伤的位置,且在损伤位置准确判定后,可根据该位置已有的差值信息进行损伤程度判定.

关 键 词:蜂窝夹芯板  损伤检测  振型差值  曲率模态  高斯曲率模态  

Damage Detection of the Honeycomb Sandwich Panel Based on Vibration Shape Data
ZHANG Ying-jie,YAN Yun-hui,LI Yong-qiang,HE Yong-liang. Damage Detection of the Honeycomb Sandwich Panel Based on Vibration Shape Data[J]. Journal of Northeastern University(Natural Science), 2012, 33(3): 418-421,452. DOI: -
Authors:ZHANG Ying-jie  YAN Yun-hui  LI Yong-qiang  HE Yong-liang
Affiliation:1.School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110819,China;2.School of Sciences,Northeastern University,Shenyang 110819,China.)
Abstract:An aluminous honeycomb sandwich panel with some structural damages was selected as the objective in this study.The panel was simply supported along four edges and its vibration shape data was collected through modal experiment with a hammering method.The damages with different degrees at different positions of the honeycomb sandwich panel were identified by three identification methods,i.e.,the modal difference of vibration shape,the curvature mode and the Gaussian curvature mode,respectively.It is found that the modal difference of vibration shape at the damage location is obvious when the honeycomb sandwich panel has some structural damages.This indicates that the damage location can be accurately identified by using the difference of vibration shape.Furthermore,the damage degree can be identified according to the difference at the damage location after the damage location is defined.
Keywords:honeycomb sandwich panel  damage detection  difference of vibration shape  curvature mode  Gaussian curvature mode
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