Browsing by Author "Kilic, Gokhan"

Now showing 1 - 3 of 3

Citation - WoS: 1
Citation - Scopus: 1
GPR Raw-Data Analysis to Detect Crack Using Order Statistic Filtering
(AMER SOC TESTING MATERIALS, 2016) Gokhan Kilic; Mehmet S. Unluturk; Unluturk, Mehmet S.; Kilic, Gokhan
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.
Citation - WoS: 39
Citation - Scopus: 49
Neural network based inspection of voids and karst conduits in hydro-electric power station tunnels using GPR
(ELSEVIER SCIENCE BV, 2018) Gokhan Kilic; Levent Eren; Kilic, Gokhan; Eren, Levent
This paper reports on the fundamental role played by Ground Penetrating Radar (GPR) alongside advanced processing and presentation methods during the tunnel boring project at a Dam and Hydro -Electric Power Station. It identifies from collected GPR data such issues as incomplete grouting and the presence of karst conduits and voids and provides full details of the procedures adopted. In particular the application of collected GPR data to the Neural Network (NN) method is discussed. (C) 2018 Elsevier B.V. All rights reserved.
Citation - WoS: 6
Citation - Scopus: 6
Wavelet Analysis With Different Frequency GPR Antennas for Bridge Health Assessment
(AMER SOC TESTING MATERIALS, 2016) Gokhan Kilic; Mehmet S. Unluturk; Unluturk, Mehmet S.; Kilic, Gokhan
This study presents an examination and a presentation of ground-penetrating radar (GPR) on a heavily used high-speed railway bridge in Turkey. This study also considers GPR mapping using two different antennas (2 GHz and 500 MHz) and their reliability in terms of locating subsurface features such as rebar (lower and upper reinforcement) and the presence of moisture. Moreover GPR interesting results in terms of the structural crack locations by detecting discontinuities and breakdowns in the wavelets' travel with the incorporation of wavelet analysis into the process of the collected raw data of the highspeed railway bridge under survey. This study promotes the GPR and the wavelet analyses in the health monitoring and assessment of bridge structures. By increasing insight into the kinds of structural deterioration that can occur in structures such as high-speed railway bridges this study also has implications for the process of tool selection in structural inspection. The wavelet analysis can be used as an effective tool in analyzing and presenting the results of the GPR survey.