中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2013, Vol. 32 ›› Issue (1): 14-17.DOI: 10.3969/j.issn.1674-0696.2013.01.04

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Application of Hilbert-Huang Transform in CFST Void Detection Based on Acoustic Vibration Signal

Han Xi1,Xiang Li1,Zhong Li1,Yang Jin2,Chen Hui2   

  1. 1.School of Civil Engineering & Architecture,Chongqing Jiaotong University,Chongqing 400074,China; 2.Chongqing Academy of Science and Technology,Chongqing 401123,China
  • Received:2012-04-23 Revised:2012-05-24 Online:2013-02-15 Published:2015-03-12

Hilbert-Huang变换在声振信号检测 钢管混凝土脱空中的应用

韩西1,向丽1,钟厉1,杨劲2,陈晖2   

  1. 1.重庆交通大学土木建筑学院,重庆400074;2.重庆市科学技术研究院,重庆401123
  • 作者简介:韩西(1964—),男,重庆人,教授,博士,主要从事结构力学、振动工程方面的研究。E-mail:xihan@cquc.edu.cn
  • 基金资助:
    重庆市科技攻关计划项目( CSCT2009AB6135)

Abstract: The void detection method based on Hilbert-Huang Transform in Concrete Filled Steel Tube ( CFST) was proposed. The acoustic vibration signal for CFST with transient impact was analyzed. The instantaneous amplitude feature samples were extracted,and the improved K-means clustering method was used to do second-class pattern recognition for the feature samples. Thus the void in CFST was judged. The result shows this method is feasible.

Key words: Concrete Filled Steel Tube( CFST), acoustic vibration signal, Hilbert-Huang Transform, cluster analysis, void detection

摘要: 提出了基于Hilbert-Huang 变换的钢管混凝土脱空检测方法,通过对瞬态冲击下脱空钢管的声振信号进行分 析,提取出了瞬时幅值特征样本,采用改进的K 均值聚类法对特征样本进行二类模式识别,从而对钢管混凝土的脱 空进行判定,试验研究表明本方法的可行性。

关键词: 钢管混凝土, 声振信号, Hilbert-Huang变换, 聚类分析, 脱空检测

CLC Number: