|Table of Contents|

Neural Network Method of Diameter Detection of Rebar in Concrete by Using GPR(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2008年04期
Page:
105-110
Research Field:
Publishing date:
2008-12-20

Info

Title:
Neural Network Method of Diameter Detection of Rebar in Concrete by Using GPR
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)
Keywords:
GPR;  diameter detection of rebar;  neural network;  wavelet packet analysis
PACS:
TU311.41
DOI:
-
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.

References:

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Last Update: 2008-12-20