摘要
采用脉冲回波法对混凝土板中的不同类型的模拟缺陷进行检测 ,实验分别在密实板、剥离板和空洞板上进行 .利用小波分析对脉冲回波信号进行处理 ,小波变换采用 Mallat算法和具有紧支集的 Daubechies小波 ,并从反映缺陷特征的小波变换细节信号的极大模中抽取为特征向量 ,用这些特征进行缺陷的模式识别 .分析结果表明小波变换在混凝土板类结构缺陷探测中具有很大的潜力 .
Nondestructive flaw detection of concrete structure is a difficult and important job.The major problems to be solved in intelligent recognition are how to extract flaw information and how to interprete the information.In the research, impact echo tests are used for detection of simulated flaws of different types. Experiments are carried out on nondestructive slab, slab with delamination and slab with void. Wavelet transform is used for analysis of impact echo signal. Daubechies wavelet with compact support and Mallat algorithm is selected. Those of maximum modulus of detail signal of wavelet transform reflected flaw are extracted as feature vectors. Then those features are used for flaw recognition. The result shows that wavelet transform has good potential for flaw detection of concrete structure.
出处
《武汉理工大学学报（交通科学与工程版）》
北大核心
2002年第2期147-150,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金 (信息部 69772 0 0 1)
湖北省科学基金 (编号 99j0 79)
交通部"通达计划"(编号 :95 -0 6-0 2 -0 4)
