Kılıç, Gökhan
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Kilic, Gokhan
Kilic, G
Kilic, G
Job Title
Email Address
gokhan.kilic@ieu.edu.tr
Main Affiliation
05.03. Civil Engineering
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
5
GENDER EQUALITY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
5
Research Products
13
CLIMATE ACTION
1
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
14
LIFE BELOW WATER
0
Research Products
17
PARTNERSHIPS FOR THE GOALS
0
Research Products
1
NO POVERTY
0
Research Products
2
ZERO HUNGER
0
Research Products
4
QUALITY EDUCATION
1
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
3
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
3
GOOD HEALTH AND WELL-BEING
0
Research Products
6
CLEAN WATER AND SANITATION
1
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
1
Research Products
10
REDUCED INEQUALITIES
0
Research Products
15
LIFE ON LAND
0
Research Products
7
AFFORDABLE AND CLEAN ENERGY
3
Research Products
Documents
24
Citations
513
h-index
8
Documents
23
Citations
461
Scholarly Output
29
Articles
24
Views / Downloads
16/613
Supervised MSc Theses
2
Supervised PhD Theses
0
WoS Citation Count
446
Scopus Citation Count
518
WoS h-index
8
Scopus h-index
8
Patents
0
Projects
0
WoS Citations per Publication
15.38
Scopus Citations per Publication
17.86
Open Access Source
10
Supervised Theses
2
| Journal | Count |
|---|---|
| Journal of Applıed Geophysıcs | 2 |
| Nondestructıve Testıng And Evaluatıon | 2 |
| Structures | 2 |
| Journal of Testıng And Evaluatıon | 2 |
| Herıtage Scıence | 1 |
Current Page: 1 / 5
Scopus Quartile Distribution
Competency Cloud
29 results
Scholarly Output Search Results
Now showing 1 - 10 of 29
Article Citation - WoS: 7Citation - Scopus: 7Corroboration of Ndt and Deconvolution Neural Networks for Pedestrian Bridge Health Assessment(Taylor & Francis Ltd, 2015) Kilic, Gokhan; Unluturk, Mehmet S.This paper describes the specific application of the non-destructive testing methods of visual inspection and ground penetrating radar (GPR) to a pedestrian bridge in Izmir, Turkey. The paper concentrates on the implementation of a deconvolution neural network (DNN) which is a procedure that employs neural network algorithms. By introducing collected GPR data to the DNN, the existence and location of cracks, rebar and moisture ingress on pedestrian pathways can reliably be located, thus providing superior information on which decisions relating to the functionality and life expectancy of a structure can be formulated. This study will be of benefit to engineers in providing a detailed and dependable assessment of the current state of structures such as pedestrian bridges.Article Citation - WoS: 46Citation - Scopus: 54Testing of Wind Turbine Towers Using Wireless Sensor Network and Accelerometer(Pergamon-Elsevier Science Ltd, 2015) Kilic, Gokhan; Unluturk, Mehmet S.Structural Health Monitoring (SHM) is commonly used in the health assessment of wind turbines. The system is installed during construction of the structure and consists of wired sensors connected to a central data acquisition unit via cables. In most cases, the data acquisition unit is located on the wind turbine itself. SHM is verified by comparison of results over time from wireless sensor systems. This study presents the Supervised Event Server Health Monitoring System (SESHMS) as a relatively simple, economical wireless system for use within the arena of structural health assessment. (C) 2014 Elsevier Ltd. All rights reserved.Article Citation - WoS: 147Citation - Scopus: 172Applications of Ground Penetrating Radar (gpr) in Bridge Deck Monitoring and Assessment(Elsevier Science Bv, 2013) Alani, Amir M.; Aboutalebi, Morteza; Kilic, GokhanThis paper presents the essence of two case studies by the authors on two major bridges in the UK. The first case study reports on the applications of GPR and associated work carried out on the Forth Road Bridge near Edinburgh, Scotland, with the main objective of identifying possible structural defects including damaged rebar and moisture ingress at specific locations of the bridge deck. The second case study focuses on a full assessment of the Pentagon Road Bridge, in Chatham, Kent England with particular emphasis on the identification of possible defects including structural cracks within the deck structure and establishing the layout of the upper and lower rebar positions throughout the bridge. These studies present interesting results in terms of locations of rebar and an accurate estimate of concrete cover condition as well as reporting on a remarkable similarity in the processed data concerning areas affected by ingress of moisture within the deck structures of the two bridges under investigation. It is believed that this paper will be of particular interest to bridge engineers and structural engineering practitioners with enthusiasm for adopting non-destructive testing methods such as GPR in the health monitoring and assessment of bridge structures. The observed similarities in the processed data between the two reported case studies present an interesting concept within the general context of the interpretation of GPR data, with the potential for use in many other forthcoming cases. The paper also reports on the adopted method for the GPR survey with emphasis on difficulties and challenges encountered during the actual survey. The presented results benefit from advanced processing and presentation techniques. (c) 2013 Elsevier B.V. All rights reserved.Article Citation - WoS: 8Citation - Scopus: 9Use of Non-Contact Sensors (ibis-S) and Finite Element Methods in the Assessment of Bridge Deck Structures(Ernst & Sohn, 2014) Alani, Amir M.; Aboutalebi, Morteza; Kilic, GokhanThe main objective of this investigation is to provide an alternative method for the damage detection and assessment of bridge structures based on comparisons between finite element (FE) modelling/analysis and field data. The field data reported in this paper refers to the use of a non-destructive structural testing method (IBIS-S sensor system -displacement/movement-detection sensors with interferometric capabilities) and visual inspections. The FE models developed and presented in this study demonstrate certain degrees of reliability in terms of predicting the mechanical behaviour of the bridge structure under investigation. The FE models were developed using the ANSYS software package. This investigation also provides a detailed report on the application of the field survey that was carried out on a rather heavily used bridge located in Chatham, Kent, UK. The field data concerning the IBIS-S sensors correspond to subjecting the bridge to different static and dynamic loading conditions. The static and dynamic structural responses of the bridge were created by driving a lorry up and down the bridge. The same loading conditions were then simulated using the FE model developed to verify the sensitivity of the model. This FE model was then used to study the response of the bridge to other loading conditions. It is believed that the proposed method could potentially be used for assessing bridge structures within the context of the health monitoring of structures.Article Citation - WoS: 63Citation - Scopus: 78Using Advanced Ndt for Historic Buildings: Towards an Integrated Multidisciplinary Health Assessment Strategy(Elsevier France-Editions Scientifiques Medicales Elsevier, 2015) Kilic, GokhanThis study aims to enhance the body of knowledge available in relation to the mechanical performance of historical structures and the assessment of the expected service life of such structures. The reliability of non-destructive techniques (NDT) is examined, in particular in connection with the technique's application to a historic Ottoman building located in Urla, Izmir, Turkey. NDT techniques are effective in the identification of such defects as cavities and water ingress hidden within a structure, in addition to providing information on material properties. This research is unique in utilizing NDT within a multidisciplinary assessment strategy to demonstrate its value within the field and will be of particular interest to structural engineers and architects. (C) 2014 Elsevier Masson SAS. All rights reserved.Article Citation - WoS: 9Citation - Scopus: 9Assessment of Historic Buildings After an Earthquake Using Various Advanced Techniques(Elsevier Science Inc, 2023) Kılıç, GökhanMonuments are structures with historical, archaeological, and cultural qualities. They were not designed or constructed to be earthquake resistant, and so pose risks to the community and are vulnerable to collapse or irreversible damage, particularly in seismically active areas. This study conducted a condition assessment of two different historic buildings to estimate their functional life following an earthquake on Samos Island on October 30, 2020. The study combined laboratory analysis, polarized optical microscope analysis, and FTIR (Fourier Transform Infrared Spectroscopy) spectral data analysis along with advanced techniques, such as Ground Penetrating Radar (GPR), thermal imaging, and Resistivity Measurement (RM). The signal and image analyses demonstrated the successful application of an integrated approach, with implications for protecting the con-structed cultural heritage for a covering both scientific maintenance and decision making.Article Citation - WoS: 39Citation - Scopus: 48Neural Network Based Inspection of Voids and Karst Conduits in Hydro-Electric Power Station Tunnels Using Gpr(Elsevier Science Bv, 2018) Kilic, Gokhan; Eren, LeventThis 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.Article Citation - WoS: 7Citation - Scopus: 8Shape Memory Behavior of Ni(45)mn(40)co(5)sb(10-X)b(x)magnetic Shape Memory Alloys(Springer, 2021) Aydogdu, Yildirim; Turabi, Ali Sadi; Boddeti, Bhargava; Saghaian, Sayed Ehsan; Aydogdu, Ayse; Kilic, Gokhan; Abboosh, OmarThe transformation temperatures, magnetization behavior, shape memory behavior, and mechanical properties of polycrystalline Ni45Mn40Co5Sb10-xBx(at.%) (x = 0, 1, 2, 3, 4, 5) alloys were systematically investigated. It was revealed that substituting Sb with B drastically increases the transformation temperatures, while it decreases the saturation magnetization due to the alteration of electron concentration of the matrix and formation of Co-rich second phases. With the substitution of Sb with 5% B, martensite start temperature and activation energy were increased from 50 to 316.8 degrees C, and 185 to 722.6 kJ mol(-1), respectively. The thermal cycling under stress, superelasticity, and failure experiments showed that shape memory properties and strength were improved by the substitution of Sb with B. The shape memory effect with maximum recoverable strain of 1.6% was observed with in Ni45Mn40Co5Sb9B1, and perfect superelasticity was exhibited at 220 degrees C in Ni45Mn40Co5Sb8B2. It was concluded that NiMnCoSb alloys can be used as high-temperature magnetic shape memory alloys as they exhibit transformation temperatures above 100 degrees C and show promising shape memory and superelasticity behavior, and there is a magnetization difference between their transforming phases.Article Citation - WoS: 4Citation - Scopus: 4Gpr Raw-Data Order Statistic Filtering and Split-Spectrum Processing To Detect Moisture(Mdpi, 2014) Kilic, GokhanConsiderable research into the area of bridge health monitoring has been undertaken; however, information is still lacking on the effects of certain defects, such as moisture ingress, on the results of ground penetrating radar (GPR) surveying. In this paper, this issue will be addressed by examining the results of a GPR bridge survey, specifically the effect of moisture in the predicted position of the rebars. It was found that moisture ingress alters the radargram to indicate distortion or skewing of the steel reinforcements, when in fact destructive testing was able to confirm that no such distortion or skewing had occurred. Additionally, split-spectrum processing with order statistic filters was utilized to detect moisture ingress from the GPR raw data.Conference Object Wireless Sensor Network-Based Systems for Monitoring a Lifting Bridge(Iop Publishing Ltd, 2024) Kilic, GokhanAssessing the health and condition of structures like bridges involves frequently using structural health monitoring (SHM). In the past, wire sensors had to be installed on bridge structures as part of the SHM process so that data could be collected and sent to a data gathering unit there. However, this study suggests switching out the conventional wire sensors with wireless ones to create a Bridge Health Monitoring System (BHMS) that is affordable, practical, and simple to install. A software translation program attached to the monitoring server is used by each wireless sensor. In a GSM LAN (Global System for Mobile Communications) environment, this monitoring server system has the ability to link and interact with other similar systems of that type. The evaluation approach provided by the BHMS is thorough, secure, and portable.
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