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。
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.
出处
《重庆交通大学学报（自然科学版）》
CAS
北大核心
2013年第1期14-17,36,共5页
Journal of Chongqing Jiaotong University(Natural Science)
基金
重庆市科技攻关计划项目(CSCT2009AB6135)
