[1]刘景良,彭佳敏,方露,等.采用VMD和归一化峭度的钢管混凝土柱内部脱空缺陷识别方法[J].华侨大学学报(自然科学版),2023,44(3):328-335.[doi:10.11830/ISSN.1000-5013.202210006]
　LIU Jingliang,PENG Jiamin,FANG Lu,et al.Cavity Defect Detection Method for Concrete-Filled Steel Tubular Column Using VMD and Normalized Kurtosis[J].Journal of Huaqiao University(Natural Science),2023,44(3):328-335.[doi:10.11830/ISSN.1000-5013.202210006]
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采用VMD和归一化峭度的钢管混凝土柱内部脱空缺陷识别方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第44卷
期数:
2023年第3期
页码:
328-335
栏目:
出版日期:
2023-05-12

文章信息/Info

Title:
Cavity Defect Detection Method for Concrete-Filled Steel Tubular Column Using VMD and Normalized Kurtosis
文章编号:
1000-5013(2023)03-0328-08
作者:
刘景良1;  彭佳敏1;  方露1;  姜洋2;  蔡宏爽1;  张羲岭3
1. 福建农林大学 交通与土木工程学院, 福建 福州 350108;2. 福建农业职业技术学院 园艺园林学院, 福建 福州 350303;3. 福建省国电调试院有限公司, 福建 福州 350025
Author(s):
LIU Jingliang1;  PENG Jiamin1;  FANG Lu1;  JIANG Yang2;  CAI Hongshuang1;  ZHANG Xiling3
1. College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China; 2. College of Horticulture and Landscape Architecture, Fujian Vocational College of Agriculture, Fuzhou 350303, China; 3. Fujian Guodian Commissioning Institute Limited Company, Fuzhou 350025, China
关键词:
钢管混凝土柱;  脱空缺陷;  变分模态分解;  峭度;  缺陷识别
Keywords:
concrete-filled steel tubular column;  cavity defect;  variational mode decomposition;  kurtosis;  defect detection
分类号:
TU311.3;TU392.3
DOI:
10.11830/ISSN.1000-5013.202210006
文献标志码:
A
摘要:
提出一种基于变分模态分解(VMD)与归一化峭度的钢管混凝土柱内部脱空缺陷识别方法.首先,采用VMD分解响应信号;然后,选取加权峭度值大于平均值的模态分量作为有效分量并进行信号重构;对重构后的信号求取Teager能量算子(TEO)并进行快速傅里叶变换(FFT);最后,对经FFT处理的TEO值进行归一化峭度求解.通过数值算例和动力试验对文中方法的有效性和准确性进行验证.研究结果表明:文中方法对钢管混凝土柱内部损伤位置的识别效果较好,且不依赖于原始未损工况的基准信息.
Abstract:
A cavity defect detection method is proposed for concrete-filled steel tubular columns(CFSTC)based on variational mode decomposition(VMD)and kurtosis. VMD is used to decompose response signals. The modal components whose weighted kurtosis are larger than mean value are selected as the effective components and used to reconstruct signals. The reconstructed signal is processed by Teager’s energy operator(TEO), and the fast Fourier transform(FFT)is carried out. The values of TEO processed by FFT are used to calculate the normalized kurtosis. The effectiveness and accuracy of this method are verified by a numerical case and a dynamic test. The research results show that this method is effective in identifying the internal damage location of CFSTC, and does not depend on the reference information of the original undamaged condition.

参考文献/References:

[1] 苏俊臣.钢管混凝土拱桥调查及其脱空问题研究[D].成都:西南交通大学,2012.
[2] 鲁学伟,徐蓉,王桂玲.钢管混凝土内部常见缺陷及检测方法综述[J].施工技术,2011,40(增刊1):46-48.
[3] 傅斌.超声波法在定量检测钢管混凝土拱桥脱空缺陷中的应用研究[D].重庆:重庆交通大学,2008.
[4] 钱琛.基于超声波的混凝土缺陷检测方法研究与实现[D].南京:南京信息工程大学,2018.
[5] 陈禾,秦迎,陈劲,等.基于红外热成像法和超声波法的钢管混凝土无损检测技术试验研究[J].建筑结构,2020,50(增刊1):890-895.DOI:10.19701/j.jzjg.2020.s1.174.
[6] 陈劲,陈晓东,赵辉,等.基于红外热成像法和超声波法的钢管混凝土无损检测技术的试验研究与应用[J].建筑结构学报,2021,42(增刊2):444-453.DOI:10.14006/j.jzjgxb.2021.S2.0052.
[7] 冯琪智,高斌,杨扬.基于热图重构区域生长算法的碳纤维增强复合材料脱粘缺陷检测[J].无损检测,2017,39(9):29-34.DOI:10.11973/wsjc201709007.
[8] 蔡萍,许斌,周宇.基于外贴压电材料的钢管混凝土界面缺陷检测[J].压电与声光,2015,37(2):337-341.
[9] 骆勇鹏,谢隆博,廖飞宇.基于时序分析理论的钢管混凝土脱空缺陷检测方法研究[J].工业建筑,2019,49(10):48-53.DOI:10.13204/j.gyjz201910008.
[10] 安宁,夏禾,战家旺.基于参数不确定列车作用下桥梁振动响应的桥梁损伤识别研究[J].工程力学,2012,29(10):275-281.DOI:10.6052/j.issn.1000-4750.2011.12.0867.
[11] DAS S,SAHA P,PATRO S K.Vibration-based damage detection techniques used for health monitoring of structures: A review[J].Journal of Civil Structural Health Monitoring,2016,6:477-507.DOI:10.1007/s13349-016-0168-5.
[12] 陈建灿,刘晓梅.运用EMD分形盒维数的电梯机械故障诊断[J].华侨大学学报(自然科学版),2013,34(5):494-499.DOI:10.11830/ISSN.1000-5013.2013.05.0494.
[13] WU Zhaohua,HUANG N E.Ensemble empirical mode decomposition: A noise-assisted data analysis method[J].Advance in Adaptive Data Analysis,2009,1(1):1-41.DOI:10.1142/S1793536909000047.
[14] YEH J R,SHIEH J S,HUANG N E.Complementary ensemble empirical mode decomposition: A novel noise enhanced data analysis method[J].Advances in Adaptive Data Analysis,2010,2(2):135-156.DOI:10.1142/S1793 536910000422.
[15] CHEN Genda,WANG Zuocai.A signal decomposition theorem with Hilbert transform and its application to narrowband time series with closely spaced frequency components[J].Mechanical Systems and Signal Processing,2012,28(2):258-279.DOI:10.1016/j.ymssp.2011.02.002.
[16] DRAGOMIRETSKIY K,ZOSSO D.Variational mode decomposition[J].IEEE Transactions on Signal Processing,2014,62(3):531-544.DOI:10.1109/TSP.2013.2288675.
[17] 李涛涛.基于变分模态分解和支持向量机的风电机组振动故障诊断[D].西安:西安理工大学,2018.
[18] 田赛,姚斌,陈彬强,等.基于Morlet小波和改进峭度的滚动轴承故障诊断方法[J].工具技术,2022,56(10):141-146.DOI:10.3969/j.issn.1000-7008.2022.10.029.
[19] 马增强,李亚超,刘政,等.基于变分模态分解和Teager能量算子的滚动轴承故障特征提取[J].振动与冲击,2016,35(13):134-139.DOI:10.13465/j.cnki.jvs.2016.13.022.

备注/Memo

备注/Memo:
收稿日期: 2022-10-13
通信作者: 刘景良(1983-),男,副教授,博士,主要从事桥梁结构健康监测的研究.E-mail:liujingliang@fafu.edu.cn.
基金项目: 国家自然科学基金青年基金资助项目(51608122); 福建省自然科学基金面上资助项目(2020J01581)
更新日期/Last Update: 2023-05-20