Wavelet analysis of quality inspection of anchorage system

XU Ming; ZHANG Yong-xing

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Wavelet analysis of quality inspection of anchorage system

更新时间：2026-06-25

- Wavelet analysis of quality inspection of anchorage system
- Vol. 24, Issue 2, (2003)
- 作者机构：
  
  重庆大学土木工程学院,重庆,400045
- 作者简介：
- 基金信息：
- DOI：
  CLC： P631
- Online First：19 August 2014，
  
  Published：2003
- 稿件说明：
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XU Ming, ZHANG Yong-xing. Wavelet analysis of quality inspection of anchorage system[J]. 2003, 24(2).
DOI：

XU Ming, ZHANG Yong-xing. Wavelet analysis of quality inspection of anchorage system[J]. 2003, 24(2). DOI：

摘要

波动方程的有限元数值解表明，对锚杆灌浆体内部缺陷的探测，可用声速、幅值、波形等声参数作为判断的依据。基于小波包分析得到的能量特征向量，可以作为缺陷特征向量进行无损检测。人工神经网络这类非线性动力学系统运用于该灰色系统的质量预测，可取得良好的效果。

Abstract

FEA numeric solution of wave equation indicates that deductions must comply with acoustic parameters such as velocity of sound

amplitude

wave shape etc. when inspecting interior flaws of grout of anchor bar. Basing on wavelet packet analysis

energy eigenvector is a flaw vector

which could be regarded as basis in anchors' non-destructive inspection. As a nonlinear dynamical system

artificial neural networks dealing with quality inspection of gray system have been proved efficient.

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