Dursun, Arif Emre
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Name Variants
Dursun, A.E. Dursun, A. E. Dursun, A. Emre Dursun, Arif E.
Job Title
Email Address
aedursun@ktun.edu.tr
Main Affiliation
07. 20. Department of Property Protection and Security
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
WoS Researcher ID
Research Topics
Domains
Physical Sciences
Fields
Engineering
Subfields
Civil and Structural EngineeringOcean EngineeringMechanics of MaterialsMechanical Engineering
Specific Research Areas
Tunneling and Rock Mechanics
Drilling and Well Engineering
Rock Mechanics and Modeling
Mineral Processing and Grinding
Advanced machining processes and optimization
Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
Research Products
3GOOD HEALTH AND WELL-BEING
0
Research Products
4QUALITY EDUCATION
0
Research Products
5GENDER EQUALITY
0
Research Products
6CLEAN WATER AND SANITATION
0
Research Products
7AFFORDABLE AND CLEAN ENERGY
0
Research Products
8DECENT WORK AND ECONOMIC GROWTH
0
Research Products
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
Research Products
10REDUCED INEQUALITIES
0
Research Products
11SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
12RESPONSIBLE CONSUMPTION AND PRODUCTION
1
Research Products
13CLIMATE ACTION
0
Research Products
14LIFE BELOW WATER
0
Research Products
15LIFE ON LAND
0
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
17PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents
12
Citations
150
h-index
6
This researcher does not have a WoS ID.
Publication Collaboration
| Affiliation Name | Count |
|---|---|
| Konya Technical University | 11 |
| Selçuk University | 5 |
| Van Yüzüncü Yıl Üniversitesi | 2 |
| TU Wien | 1 |
| Keesler Medical Center | 1 |
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Data obtained from OpenAlex
Scholarly Output
13
Articles
12
Views / Downloads
33/53
Supervised MSc Theses
1
Supervised PhD Theses
0
WoS Citation Count
70
Scopus Citation Count
104
Patents
0
Projects
0
WoS Citations per Publication
5.38
Scopus Citations per Publication
8.00
Open Access Source
7
Supervised Theses
1
| Journal | Count |
|---|---|
| Bilimsel Madencilik Dergisi | 2 |
| ARABIAN JOURNAL OF GEOSCIENCES | 1 |
| Konya Journal of Engineering Sciences | 1 |
| Konya Mühendislik Bilimleri Dergisi | 1 |
| MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW | 1 |
Current Page: 1 / 3
Scopus Quartile Distribution
Competency Cloud
13 results
Scholarly Output Search Results
Now showing 1 - 10 of 13
Article Citation - WoS: 7Citation - Scopus: 12Using Artificial Neural Networks for the Prediction of Bond Work Index From Rock Mechanics Properties(TAYLOR & FRANCIS INC, 2019-02-12) Aras, Ali; Özsen, Hakan; Dursun, Arif EmreThe resistance shown to the grinding process and energy consumption can be determined using the work index. The Bond method is widely used in design of grinding circuits, selection of comminution equipment, determination of the power requirement and performance evaluation. Therefore, it is important to predict the Bond work index (BWi) using some easy and practical rock mechanics tests without the need to use a mill. In this study, rock mechanics and Bond tests were carried out on seven different marble and travertine samples. These rock mechanics tests are uniaxial compressive strength (sigma(c)), Brazilian tensile strength (sigma(t)), ultrasonic velocity (V-p), Schmidt hardness (R-L), point load index (I-S(50)) and density (rho). The BWi value was tried to be predicted using these rock mechanics test results by the feature selection method which is one of the artificial neural networks (ANN) methods. ANN has been used successfully for years in a very broad range of area such as classification, clustering, pattern recognition, prediction, etc. It was found out that the prediction of the BWi value by sigma(c), R-L, rho and I-S(50) values is reliable based on the obtained correlation coefficients by ANN feature selection method.Article Citation - WoS: 6Citation - Scopus: 7Estimation of Specific Energy and Evaluation of Roadheader Performance Using Rock Properties and Bond Work Index(SPRINGER HEIDELBERG, 2021-07-28) Özşen, Hakan; Dursun, Arif Emre; Aras, AliSpecific energy (SE) is defined as the amount of work required to cut a unit volume of rock and is used to estimate the performance of excavation machines. Generally, the SE value is produced from full-scale or small-scale rock cutting tests. However, these tests require expensive equipment and experienced personnel, and the testing procedure is time consuming and impractical. Therefore, for estimation of SE, this study aimed to find a solution to estimate SE using rock mechanics test results and Bond work index values (BWi), which can be produced in a more practical, less time-consuming manner and with inexpensive test equipment. Small-scale rock cutting, rock mechanics and Bond work index tests were carried out on seven rock samples, which can be grouped into two different type of rocks: marble and travertine. In addition, the instantaneous cutting rates (ICR) of a selected roadheader were calculated using SE values. Rock mechanics tests performed in this study were uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), ultrasonic velocity (V-p), Schmidt rebound hardness (R-L), corrected point load index (I-s(50)) and density (rho). The simple regression method was used to estimate SE from rock properties and BWi. As a result of this simple regression, a significant and highest correlation was found between SE vs. UCS and I-s(50). A good correlation was found between SE vs. BTS, R-L and BWi values. A moderate correlation was found between SE vs. V-p and rho.Article Citation - WoS: 13Citation - Scopus: 13Fatal Accident Analysis and Hazard Identification in Turkish Coal-Extracting Industry Using Analytic Hierarchy Process(Springer Heidelberg, 2023-12-30) Dursun, Arif EmreThe aim of this study is to present hazard classifications of location, type, and causes of accidents in Turkish coal-extracting industries using Analytic Hierarchy Process (AHP). In this study, fatal mine accidents were analyzed by pairwise comparison and weighting, and the most important hazards were identified by determining the effective main and sub-criteria among location, type, and causes of accidents. For this purpose, 1st, 2nd, and 3rd level hazards consisting of location, type, and causes of accident were determined by using the data of fatal mine accidents in underground and open-pit coal mining in Turkey between the years of 2010 and 2020. And then the data were categorized, and each category was prioritized using the AHP technique. According to the weights calculated by AHP, the most dangerous main criteria at 1st level hazards in underground coal mining is ventilation operations (0.363), while the most dangerous sub-criterion at 2nd level hazards is firedamp explosions and other gas accidents (0.409). On the other hand, in open-pit coal mining, the most dangerous main criteria at 1st level hazards are slopes and benches (0.575), while the most dangerous sub-criterion at 2nd level hazards are landslides (0.429).Article Citation - WoS: 44Citation - Scopus: 52Statistical Analysis of Methane Explosions in Turkey's Underground Coal Mines and Some Recommendations for the Prevention of These Accidents: 2010-2017(SPRINGER, 2020-07-14) Dursun, Arif EmreUnderground coal mining is accepted as one of the most dangerous workplaces in the world which has high risks by their nature contain. The reason for this is that the presence of methane is a naturally immutable fact in most underground coal mines. Therefore, besides working under high risky conditions, struggling with nature in underground coal mining brings with it the possibility of mine accident especially methane explosions. Consequently, methane has been considered as one of the most deadly hazards for underground coal mining due to its explosion risk to both the miners and environment. In Turkey's underground coal mines, one of the most frequently occurring accidents is methane explosions which occur suddenly and cause great damage. In recent years, Turkey's underground coal mines have still posed serious threats to miners' lives due to the occurrence of many gas accidents. In this study, methane explosion accidents that occurred in Turkey's underground coal mines between the years of 2010 and 2017 were statistically analyzed. These analyses showed that the number of deaths in Turkey's underground coal mines between 2010 and 2017 was 578 and the mortality rate was found to be 92.63%. The rate of the death toll caused by methane explosions and other gas-related accidents was 68.34%. In this study, some countermeasures have been suggested that can both prevent and control gas-related accidents. Furthermore, some recommendations for a decrease in the number of errors made in Turkey's underground coal mines have been presented in this study.Article Structural Lightweight Concrete for Seismic-Resistant and Sustainable Construction: A State-of-the-Art Review of Material Innovations and Performance Evolution(de Gruyter Poland SP z o o, 2026-01-01) Akbulut, Zehra Funda; Merta, Ildiko; Dursun, Arif Emre; Guler, SonerStructural lightweight concrete (SLWC) has gained increasing attention as a sustainable and earthquake-resilient construction material due to its optimal balance between reduced density and satisfactory mechanical performance. Compared with normal-weight concrete, SLWC generally achieves a 25-35 % reduction in density, typically 1,600-2000 kg/m(3), while maintaining compressive strengths of approximately 17-60 MPa in well-designed systems. This reduction in self-weight leads to lower dead loads, enhanced structural efficiency, and a 20-30 % decrease in seismic base shear demand, thereby improving overall seismic performance. Recent developments highlight the synergistic use of lightweight aggregates with supplementary cementitious materials (SCMs), including metakaolin (MK), ground granulated blast-furnace slag (GGBFS), and limestone calcined clay (LC3), commonly replacing 10-50 % of ordinary Portland cement. When combined with polymeric or natural fibers, these systems demonstrate improved strength development, durability, and post-cracking ductility, resulting in superior energy dissipation capacity under seismic loading. This review critically examines advances in SLWC by focusing on material innovations and microstructural characteristics and their influence on mechanical and seismic behavior. Sustainability performance is evaluated through embodied carbon and life cycle assessment (LCA) studies, reporting CO(2 )emission reductions of approximately 15-40 % relative to conventional concrete.Article Determining the Statistical Relationship Between the S20 Brittleness Index and Schmidt Hardness of Rocks(Konya Technical University, 2019-12-04) Özşen, Hakan; Uysal, Abdullah; Dursun, Arif EmreDetermination of the brittleness of rocks is considered as an important preliminary design tool in different mining applications. The brittleness value is an important rock parameter used in the excavation and drilling of rocks. Schmidt's hardness is an inexpensive and easy-to-use surface hardness measure that is commonly used to determine the mechanical properties of rocks, such as strength, cuttability (linear and circular), and permeability. In this study, the S20 brittleness index values were determined by using NTNU model to determine the brittleness values of the rocks which was developed by Blindheim and Bruland (1998). The aim of this study was to investigate the relationship between the S20 brittleness index and Schmidt hardness (RL) values statistically. For this purpose, Schmidt hardness tests and S20 brittleness index tests on 7 different rock samples with different strength properties were performed. Schmidt hardness test values and S20 brittleness index values were statistically evaluated and correlated with SPSS. As a result of this evaluation, it was determined that there was a strong correlation between Schmidt hardness and S20 brittleness index values.Article Citation - Scopus: 1Prediction of Specific Energy Using P-Wave Velocity and Schmidt Hammer Hardness Values of Rocks Based on Laboratory Studies Enerjinin Tahmini](Chamber of Mining Engineers of Turkey, 2019-09-01) Dursun, A.E.; Terzioǧlu, H.Specific energy has been widely used to assess the rock cuttability for mechanical rock excavation. In mechanical rock excavation processes, engineers need to predict, of machine performance based on specific energy using easy applicable, more economical and simple sample preparation methods. In this study, P-wave velocity (Vp) and Schmidt hammer hardness (RL) tests are used as predictors for prediction of specific energy, which are thought to be a practical, simple and inexpensive test. For this purpose, rock cutting and Vp and RL tests were performed on 24 different rock samples. The Vp a nd R L values were correlated with specific energy values using simple and multiple regression analysis with SPSS 15.0. As a result of this evaluation, there is a strong relation between specific energy, Vp and RL values of rocks. According to the statistical analyses, specific energy values can be reliably predicted by using Vp and RL values of rocks based on laboratories studies. © 2019 Union of Chambers of Engineers and Architects of Turkey. All rights reserved.Article Citation - Scopus: 1Spatial Coal Seam Modeling and Reserve Estimation Using Geostatistical Methodologies by Gis Technique in a Selected Coalfield in Ermenek Basin, Turkey(Technical University of Kosice, 2024-04-14) Dursun, A.E.The accurate and reliable calculation of tonnage and quality of coal is vital for the success of mining projects. The Ermenek coal basin is located in the Western Taurus Mountains in the southern part of Turkey, which covers an area of approximately 620 km2 and is a Neogene coal basin. This paper generates spatial modeling of Pamuklu-Tepebaşı coal seams in the Ermenek Basin and the prediction of coal reserve by using geostatistical methods with Ordinary Kriging (OK) based on the GIS technique. The data used in the study were obtained from 82 boreholes belonging to a private company that has actively produced coal in the Pamuklu-Tepebaşı coalfield. In this study, the OK method was applied to spatial coal seam modeling for comparison of the performance of 11 distinct models. Using the rational quadratic models better explained the spatial structure of the coal seam depth data. The nugget-sill ratio indicated high spatial dependency with 0.01 and 0.02 for coal seam upper-lower surfaces, respectively. The kriged coal depth maps for upper and lower coal seam surfaces have been created using ArcGIS 10.2 software. As a result of these analyses, it was calculated that there is a coal reserve of 3.734.017 m3 using the determined surfaces with OK in the study area. Furthermore, developed spatial distribution maps in the study area could be helpful to plan further exploration activities. © 2023 by the authors.Article Citation - Scopus: 4An Analysis and Countermeasures of Fatal Accidents Caused by Firedamp Explosions in Underground Coal Mines in Turkey(2019) Dursun, Arif EmreFatal accidents in underground coal mines in Turkey are common and experienced frequently. The major accident categories for underground coal mining in Turkey are gas related accidents (firedamp and outbursts), roof falls, flooding, fire and transport. In recent years, coal mine gas related accidents in Turkey, which are usually caused by firedamp and outbursts, are still threatening miners’ lives. Firedamp explosions are majorly serious mine accidents that can occur quickly and cause great deal damage. In this study, work-related accidents caused by firedamp and another gas accidents in Turkey between the years 2010-2016 were analyzed. As a result of these analyses, the number of deaths in underground coal mines in the past 7 years is 550 and the fatality rate is found to be 96.86%. The percentage of gases as the cause of the deaths is 70.18%. In this study, countermeasures are proposed that can prevent and control firedamp explosions and other gas related accidents.Article Prediction of Specific Energy Using P-Wave Velocity and Schmidt Hammer Hardness Values of Rocks Based on Laboratory Studies(2019) Dursun, Arif Emre; Terzioğlu, HakanSpecific energy has been widely used to assess the rock cuttability for mechanical rock excavation. In mechanical rock excavation processes, engineers need to predict, of machine performance based on specific energy using easy applicable, more economical and simple sample preparation methods. In this study, P-wave velocity (Vp ) and Schmidt hammer hardness (RL ) tests are used as predictors for prediction of specific energy, which are thought to be a practical, simple and inexpensive test. For this purpose, rock cutting and Vp and RL tests were performed on 24 different rock samples. The Vp and RL values were correlated with specific energy values using simple and multiple regression analysis with SPSS 15.0. As a result of this evaluation, there is a strong relation between specific energy, Vp and RL values of rocks. According to the statistical analyses, specific energy values can be reliably predicted by using Vp and RL values of rocks based on laboratories studies.