重庆大学 土木工程学院,重庆,400045
网络首发:2014-08-19,
纸质出版:2003
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许 明, 张永兴. 锚固系统质量检测的小波分析法[J]. 岩土力学, 2003,24(2).
XU Ming, ZHANG Yong-xing. Wavelet analysis of quality inspection of anchorage system[J]. 2003, 24(2).
许 明, 张永兴. 锚固系统质量检测的小波分析法[J]. 岩土力学, 2003,24(2). DOI:
XU Ming, ZHANG Yong-xing. Wavelet analysis of quality inspection of anchorage system[J]. 2003, 24(2). DOI:
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。
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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