结合小波分析的金属面夹芯组合板损伤检测

查晓雄; 叶福相

doi:10.13204/j.gyjz201103008

结合小波分析的金属面夹芯组合板损伤检测

doi: 10.13204/j.gyjz201103008

1.
哈尔滨工业大学深圳研究生院,广东深圳 518055

基金项目:

深圳市科技计划项目(深科信(2008)342号、(2009)202号)

详细信息

中图分类号: TU551
计量
- 文章访问数: 108
- HTML全文浏览量: 18
- PDF下载量: 59
- 被引次数: 0
出版历程
- 收稿日期: 2010-10-25
- 刊出日期: 2011-03-20

THE NONDESTRUCTIVE FAULT DETECTION OF THE SANDWICH PANEL BY WAVELET ANALYSIS

1.
Shenzhen Graduate School,Harbin Institute of Technology,Shenzhen 518055,China

摘要

摘要: 夹芯板作为一种保温隔热性能良好的新型建筑材料，在建筑工程中逐渐被广泛应用。通过采用超声波法对各种在正常使用过程中可能出现的夹芯板损伤进行检测，并用小波分析技术对超声回波的信号进行去噪处理，并对处理过超声回波信号进行小波分解。结果表明：经过小波去噪和小波分解之后，能够通过识别出反射回波信号的到达时间和各级小波分解的波形较有效地识别出各种类型的损伤。
- 金属面夹芯板 /
- 损伤检测 /
- 小波分析
Abstract: As a kind of new-style building insulation material,sandwich panel is widely applied step by step in all kinds of industrial and civil architectures.In this paper,the ultrasonic non-destructive testing method was used to detect the possible damage of sandwich panel in normal use,and the wavelet analysis technique was used to precede a soft threshold de-noising treatment to the ultrasonic echo signal,then the de-noised ultrasonic echo signal was decomposed and the local modulus maxima of each layer was got.The results show that: after wavelet de-noising and wavelet decomposition,through identifying the arrival time of the reflected echo signal and the change of the various layerswaveform of the wavelet decomposition,the ultrasonic non-destructive testing method can effectively identify various types of damages.
- metal faced sandwich panel /
- non-destructive testing /
- wavelet analysis

HTML全文

参考文献(22)

[2] Salawn C Williams.Structural Damage Detection UsingExperimental Modal Analysis:A Comparison of Some Methods[C]∥Proceedings11th IMAC.1993:254－260.

Juneja V,Haftka R T.Damage Detection and Damage DetectAbility,Analysis and Experiments[J].Journal of AerospaceEngineering,1997,10(4):135－142.

[3] Kim H M,Bartkowicz T J.A Two-Step Structural DamageDetection Approach with Limited Instrumentation[J].Journal ofVibration and Acoustics,ASME,1997,119:258－264.

[4] 邱洪兴,蒋永生.结构损伤区域的判断分析法[J].工业建筑,2000,30(4):61－63.

[5] 《超声波探伤技术及探伤仪》编写组.超声波深伤技术及探伤仪[M].北京:国防工业出版社,1977.

[6] 王仲生,万小朋.无损检测诊断现场实用技术[M].北京:机械工业出版社,2001.

[7] 刘贵民.无损检测技术[M].北京:国防工业出版社,2006.

[8] 史亦韦.超声检测[M].北京:机械工业出版社,2005.

[9] 吴新璇.混凝土无损检测技术手册[M].北京:人民交通出版社,1999.

[10] CECS21:90超声波检测混凝土缺陷技术规程[S].

[11] Kawashima K.Ultrasonic Nondestructive Characterization ofMaterials[J].Trans.of the JSME,2001,655(67):370－377.

[12] 葛哲学,沙威.小波分析理论与MATLAB R2007实现[M].北京:电子工业出版社,2007:15.

[13] 飞思科技产品研发中心.MATLAB7.0辅助小波分析与应用[M].北京:电子工业出版社,2005:20.

[14] 飞思科技产品研发中心.小波分析理论与MATLAB7实现[M].北京:电子工业出版社,2005:37－47.

[15] 董长虹.Matlab小波分析工具箱原理与应用[M].北京:国防工业出版社,2004:19－29.

[16] Vaseghi Saeed V.现代数字信号处理与噪声降低[M].3版.邱天爽,等,译.北京:电子工业出版社,2007:17－26.90－109.

[17] Roberto Henry Herrera,Orozco Ruben,Rodriguez Manuel.Wavelet-Based Deconvolution of Ultrasonic Signal inNondestructive Evaluation[J].Journal of Zhejiang UniversityScience A,2006,7(10):748－756.

[18] Braun S,Feldman M.Time-Frequency Characteristics of NonLinear Systems[J].Mechanical Systems and Signal Processing,1997,11(4):611－620.

[19] 徐科军.信号处理技术[M].武汉:武汉理工大学出版社,2001.

[20] 张绪省,孙金玮,赵新民.用时频分析方法分析非平稳信号[J].宇航计测技术,1995,15(5):34－41.

[21] Vesselin Vatchev.The Analysis of the Empirical ModeDecomposition Method[R].USC,2002.

[22] 叶福相.夹芯板受弯构件徐变性能研究与无损检伤[D].哈尔滨:哈尔滨工业大学,2010.

施引文献

资源附件(0)

访问统计