|本期目录/Table of Contents|

[1]叶爱文,谢慧才.混凝土中钢筋直径雷达检测的神经网络方法[J].建筑科学与工程学报,2008,25(04):105-110.
　YE Ai-wen,XIE Hui-cai.Neural Network Method of Diameter Detection of Rebar in Concrete by Using GPR[J].Journal of Architecture and Civil Engineering,2008,25(04):105-110.
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《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

卷:
25卷
期数:
2008年04期
页码:
105-110
栏目:
出版日期:
2008-12-20

文章信息/Info

Title:
Neural Network Method of Diameter Detection of Rebar in Concrete by Using GPR
作者:
叶爱文1,2,谢慧才1,2
1.深圳大学土木工程学院,广东深圳518060; 2.深圳大学深圳市土木工程耐久性重点实验室,广东深圳518060
Author(s):
YE Ai-wen1,2, XIE Hui-cai1,2
1. School of Civil Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China; 2. Shenzhen Municipal Key Lab on Durability of Civil Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China)
关键词:
探地雷达;  钢筋直径检测;  神经网络;  小波包分析
Keywords:
GPR;  diameter detection of rebar;  neural network;  wavelet packet analysis
分类号:
TU311.41
DOI:
-
文献标志码:
A
摘要:
介绍了神经网络的基本理论,提出了一种利用神经网络处理探地雷达信号对钢筋混凝土中钢筋直径进行测算的新方法; 采用BP和Elman两种神经网络模型,并利用小波包分析提取了雷达波的特征参数; 针对神经网络应用时实际训练数据不足的问题,提出利用多项式拟合的方法来补充训练数据。试验结果表明:该方法对钢筋直径的测算结果是令人满意的。
Abstract:
The basic theory of neural network was introduced,and a new method using neural network to estimate the diameter of rebar in concrete by processing ground penetrating radar(GPR)signal was presented. The models of back propagating(BP)and Elman neural network were employed, and feature parameters were extracted using wavelet packet. Authors detailed alternative synthetic data generation by fitting polynomial, which could reduce the volume of data collection. The results show that the method to estimate diameter of rebar is satisfactory.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2008-09-12
基金项目:广东省自然科学基金项目(032023)
作者简介:叶爱文(1982-),男,河南南阳人,工学硕士,E-mail:g_awye@stu.edu.cn。
更新日期/Last Update: 2008-12-20