Journal Published Online: 09 November 2015
Volume 44, Issue 5

GPR Raw-Data Analysis to Detect Crack Using Order Statistic Filtering

CODEN: JTEVAB

Abstract

Ground penetrating radar (GPR) uses data collected with the aid of electromagnetic waves transmitted into a structure by antenna to assess and monitor the structural health of many different kinds of civil infrastructure. With GPR technology promoting their system with promises of the achievement of in excess of 1000 sample points per scan, this research demonstrated on the basis of the Nyquist theorem that 256 sample points per scan provided equally reliable inspection results. Furthermore, 256 sample points per scan GPR data were further analyzed by order statistic filtering with neural networks to locate cracks within concrete materials. The results showed that the neural network order statistic filters are effective in their use of detecting cracks in noisy environments using 256 sample points per scan GPR data.

Author Information

Kilic, Gokhan
Department of Civil Engineering, Izmir Univ. of Economics, Izmir, TR
Unluturk, Mehmet
Department of Software Engineering, Yasar University, Izmir, TR
Pages: 11
Price: $25.00
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Details
Stock #: JTE20150057
ISSN: 0090-3973
DOI: 10.1520/JTE20150057