| 预应力管道压浆质量无损检测方法 |
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| 引用本文： | 周先雁,王智丰,晏班夫.预应力管道压浆质量无损检测方法[J].中国公路学报,2011(6). |
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| 作者姓名： | 周先雁 王智丰 晏班夫 |
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| 作者单位： | 中南林业科技大学土木工程与力学学院;湖南大学土木工程学院; |
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| 基金项目： | 国家自然科学基金项目(50978258,50878081) |
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| 摘 要： | 为了准确评价后张法预应力混凝土结构管道内部的压浆质量,对实际压浆过程中可能出现的缺陷做出定性与定量分析,采用冲击回波法并结合小波神经网络进行无损检测研究。利用管道内置的软泡沫来模拟实际压浆体缺陷开展模型试验,在此基础上通过小波分析探讨冲击回波响应和管道压浆质量之间的关系,并提取测试信号对缺陷敏感的特征向量,创建一个单隐层的BP神经网络对预应力管道的压浆质量进行诊断。最后结合实际工程现场试验,完善智能评价系统。研究结果表明:经过训练、测试的3层BP神经网络具有很好的抗噪性能,在5dB噪声干扰下能够稳定和较准确地识别出缺陷大小,且诊断误差很小;实际工程的现场测试进一步验证了该方法的有效性。
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| 关 键 词： | 桥梁工程 预应力管道 冲击回波法 无损检测 压浆质量 小波变换 神经网络 |
Nondestructive Testing Method of Grouting Quality for Prestressed Pipe |
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| ZHOU Xian-yan,WANG Zhi-feng,YAN Ban-fu.Nondestructive Testing Method of Grouting Quality for Prestressed Pipe[J].China Journal of Highway and Transport,2011(6). |
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| Authors: | ZHOU Xian-yan WANG Zhi-feng YAN Ban-fu |
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| Institution: | ZHOU Xian-yan1,WANG Zhi-feng1,YAN Ban-fu2(1.School of Civil Engineering and Mechanics,Central South University of Forestry and Technology,Changsha 410004,Hunan,China,2.School of Civil Engineering,Hunan University,Changsha 410082,China) |
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| Abstract: | In order to evaluate internal grouting quality of grouted tendon ducts in post-tensioned prestressed concrete structures accurately,qualitative and quantitative analyses for possible defects during actual grouting were carried out.The impact-echo(IE) method and wavelet neural network were employed to investigate the nondestructive testing of grouting.A few soft foams placed in tendon ducts were used to simulate the flaws of actual grouting during construction and relative model tests were carried out.On the... |
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| Keywords: | bridge engineering prestressed duct IE method nondestructive testing grouting quality wavelet transform neural network |
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