Profile URL: https://hdl.handle.net/20.500.13091/11795
Job Title:Doç. Dr.
Email Address:hozsen@ktun.edu.tr
Main Affiliation:02.12. Department of Mining Engineering
Status: Current Staff
ORCID:
0000-0002-9740-2932
0000-0002-9740-2932Scopus ID:
23486629900
23486629900YÖK Akademik: CACED9B5FB98526B
Google Scholar:
KB1dVlAAAAAJ
KB1dVlAAAAAJWeb of Science ID:
JKH-4026-2023
JKH-4026-2023Name Variants:
Ozsen, Hakan Ozsen, H.
12 results
Scholarly Output Search Results
Now showing 1 - 10 of 12
Article Citation - WoS: 6Citation - Scopus: 7Estimation of Specific Energy and Evaluation of Roadheader Performance Using Rock Properties and Bond Work Index(SPRINGER HEIDELBERG, 2021) 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.Master Thesis Çavuşcugöl Linyit Açık Ocağı Doğu Şevlerinde Oluşan Deformasyonların Jeodezik Yöntemle İzlenmesi ve Matematiksel Modellenmesi(Konya Teknik Üniversitesi, 2019) Kaygusuz, Berk; Özşen, HakanAçık maden ocaklarında, mühendislik çalışmaları ile oluşturulan şevlerde, karayolu ve demiryolu yarmalarında ve doğal şevlerde duraysızlık oluşması durumunda şev kaymaları oluşabilmektedir. Meydana gelen bu kaymalar yaşam kaybına, ekonomik kayıplara, geometrisi bozulan alanlara sebebiyet vermektedir. Bu sonuçların önüne geçebilmek için oluşan duraysızlıkların izlenmesi ve elde edilen sonuçlar neticesinde emniyeti arttırmak için jeoteknik verilerin güncellenmesi, kaya düşmesini önleyici sistemler gibi önlemlerin alınması gerekmektedir. Bu çalışma, halen TKİ Ilgın Linyitleri İşletmesi'ne bağlı olan Ilgın-Çavuşcugöl linyit açık ocağında gerçekleştirilmiştir. Ocakta yapılan incelemeler ve denetlemeler neticesinde ocağın doğu şevinin 60 m ilerisinde bulunan TCDD Çavuşcugöl İstasyonu'na yönelimli çekme çatlakları tespit edilmiştir. Ölçüm sistemi olarak jeodezik ölçüm yöntemi kullanılarak 112 günlük süreçte belirli aralıklarla şev hareketleri izlenmiştir. Elde edilen veriler sonucunda şevdeki deformasyon hareketleri değerlendirilmiştir. Ardından, bu hareketliliğe bağlı matematiksel eşitlikler geliştirilmiştir.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: 1Citation - Scopus: 1Experimental Analysis of Various Deep Learning Methods for Predicting Displacements in an Open Pit Coal Mine(Springer, 2025-09-08) Ozsen, Hakan; Kaygusuz, BerkSlope failure is a problem that can occur on slopes formed by natural or unnatural means for various reasons and as a result, can cause serious loss of life and property. This is also crucial in open pit mines. Therefore, it is critical to constantly monitor slope deformations and predict a possible slide that may occur in the future. Predicting the initial trend behavior of a created slope is at least as important as estimating slope failure. Therefore, in this study, we tried to estimate slope stability with a small number of deformation data. In this study we aimed to compare several deep learning methods in using time series prediction with limited data. For this purpose, we applied MLP, GRU, LSTM Networks, biLSTM and a hybrid structure of CNN-RNN methods. We utilized data taken from three stations settled in an open pit mine slope and predicted the compound deformation value of x-, y- and z-direction in these slopes. The performance was compared with respect to the root mean squared error (RMSE) and coefficient of correction (R2) values. The minimum RMSE was obtained as 0.2293 and maximum R2 was reached as 0.9984 by the GRU method on the third station's data.Master Thesis Balıkesir /balya Hastanetepe Bölgesi Kurşun-çinko-gümüş Yeraltı Ocağı Rezervinin Jeoistatistik Yöntemlerle Değerlendirilmesi(Konya Teknik Üniversitesi, 2019) Günaydın, Onur; Özşen, HakanBu çalışmanın amacı, karmaşık cevherleşme yapısı gösteren metal maden yataklarından olan Balıkesir İli Balya İlçesi'ndeki bir kurşun-çinko-gümüş maden yatağının jeoistatistik metotlarla; rezerv parametrelerini (yoğunluk, alan, kalınlık, tenör vb.) uygulayarak yeraltındaki tenör dağılımını, rezervini modellenmesi ve hesaplanmasıdır. Bu modelleme, yatağın üretim planlamasına ve işletme dizaynına da faydalı olacaktır. Saha çalışmaları kapsamında, yüzey jeolojisi ve maden yatağı ile ilgili çalışmaların yapılması, sondaj çalışmaları sonucunda ortaya çıkan bilgiler, sahada geçmiş dönemdeki çalışmaların incelenmesi ve uygulanması ilk yapılan işlemlerdir. Saha çalışmalarının ardından sahada elde edilen veriler ile veri tabanının oluşturulması gerekmektedir. Çalışma, tenör ve rezerv analizinin yapılacağı alanın tanımlanması ve poligonların oluşturulması ile devam etmektedir. Sonuçta da Inverse Distance Weighting-IDW (Ters Mesafe Ağırlıklı Enterpolasyon) yöntemi yardımıyla tahmin ve yanında iki-üç boyutlu diyagramlarla tenör dağılımı ile rezervin modellenmesini kapsamaktadır. Bu çalışma sonucunda ise toplam 13 milyon ton Kurşun-Çinko-Gümüş cevheri tespit edilmiş ve bu cevherlerin ortalama tenörleri Pb % 3.09, Zn % 3.58 ve Ag ise 17.83 gr/t olarak hesaplanmıştır.Article Citation - WoS: 4Citation - Scopus: 4Investigation of Climatic Conditions in Underground Coal Mining(SPRINGER HEIDELBERG, 2019-11-06) Çınar, İbrahim; Özsen, HakanMine workers in heavy and dangerous work are under several physical risk factors, for example temperature, humidity, noise, vibration, lighting and air velocity. Thermal comfort includes parameters such as air temperature, air humidity, air flow rate, radiant heat, metabolic rate and garment insulation. In this study, thermal comfort conditions were evaluated using thermal comfort indices defined as predicted mean vote (PMV) and predicted percentage dissatisfied (PPD) which were determined by measurements taken from an underground coal mine for approximately 100 days. Although the metabolic rate (light work) was kept at 2 met, it was found that predicted mean vote ranged between - 2.58 and 1.68. The predicted percentage dissatisfied index was found to reach 95%. According to the results, it can be seen that thermal comfort may have negative effects on occupational health and safety. The change in thermal comfort index values in the Soma Underground Coal Mine was investigated in detail and the reasons for the changes were determined. Furthermore, determining the optimal working environment for the mine workers was also an aim of this study.Master Thesis Kayaçların Kırılganlık İndeks Değeri ile Kaya Mekaniği Özellikleri Arasındaki İlişkinin İncelenmesi(Konya Teknik Üniversitesi, 2019) Uysal, Abdullah; Özşen, HakanKırılganlık kayaçların önemli mekanik özelliklerindendir. Son yıllarda özellikle kazı mekaniği alanında performans tahmininde kullanılan önemli bir parametre haline gelmiştir. Kaya mekaniğinde kaya malzemesinin bir davranışı olarak tanımlanan kırılganlık, günümüzde kazılabilirlik, aşındırıcılık, delinebilirlik, kesilebilirlik ve malzeme olarak kullanılabilirlik vb. konularının anlaşılmasında önemli veriler sağlamaktadır. Kırılganlık çeşitli araştırmacılar tarafından bazı özel test cihazları kullanılarak deneysel olarak bulunabildiği gibi ayrıca kayaçların dayanım özellikleri yardımıyla da ampirik olarak bulunabilmektedir. Bu çalışmanın amacı, Türkiye'nin farklı bölgelerinden alınmış 5 farklı kayaçların kırılganlık özelliklerini fiziksel ve mekanik özellikleri ile karşılaştırmaktır. Bunun için kayaçların kırılganlık özellikleri hem deneysel olarak NTNU tarafından geliştirilen kırılganlık (S20) deneyi ile hem de literatürde yaygın olarak kullanılan kayaçların dayanım özelliklerine dayanan ampirik formüller (B1, B2, B3 ve B4) yardımıyla belirlenmiştir. Daha sonra kayaçların tek eksenli basınç dayanımı, dolaylı çekme dayanımı, nokta yükleme dayanımı, Schmidt çekici sertliği, yoğunluk ve kuru ağırlık kaybı gibi fiziksel ve mekanik özellikleri kaya mekaniği deneyleri ile belirlenerek kırılganlık özellikleri ile karşılaştırılmıştır. Yapılan istatistiksel değerlendirmeye göre S20 kırılganlık değeri ile RL ve IS(50) değerleri arasında güçlü ve anlamlı ilişkiler bulunmuştur.Article Machine Learning-Based Uniaxial Compressive Strength Estimation for Lignite in an Underground Coal Mine(Springer, 2026) Mesutoglu, Mehmet; Mesutoglu, Ozgul Cimen; Solak, Ahmet; Ozsen, Hakan; Rodriguez-Dono, Alfonso; Ozkan, IhsanUniaxial compressive strength (UCS) is one of the most fundamental parameters used in rock mechanics and mining design; however, laboratory UCS testing is often time-consuming, costly, and impractical for continuous field applications. This study aims to develop a rapid and low-cost UCS estimation framework using two easily obtainable indices: Schmidt hammer rebound hardness (SHT) and point load strength (PLT). A total of 114 coal samples collected from the A1 panel of the & Ouml;merler Mine were used to train and evaluate four machine-learning models; multiple linear regression (MLR), regression trees (RT), support vector regression (SVR with linear, polynomial, and RBF kernels), and artificial neural networks (ANN). Model performances were assessed through 5-fold cross-validation and statistically compared using the Friedman and Nemenyi tests. The ANN model achieved the highest predictive accuracy, with an R-2 value exceeding 0.85 and the lowest error metrics among all evaluated algorithms. SVR models also produced competitive results. Statistical rank comparisons confirmed the significant superiority of the ANN model over the RT method. The findings demonstrate that reliable UCS prediction can be achieved using only SHT and PLT, offering a practical and cost-effective alternative for preliminary geotechnical characterization in mining operations. The proposed framework provides field engineers with a fast decision-support tool for strength estimation when laboratory testing is limited or unavailable.Article Citation - WoS: 3Citation - Scopus: 3Monitoring Unstable Slopes in an Open Pit Lignite Mine Using Arima(SOUTHERN AFRICAN INST MINING METALLURGY, 2020) Özşen, HakanSlope stability is a widely studied area because of the significant consequences of slope failure. There are various factors affecting slope stability in open pit mines. and predicting the time of failure can be difficult due to the complex nature of the rock mass. Regression methods are often used in this prediction process, but they are limited in that they use a strict mathematical model. Therefore, possible future changes within the structure of a slope can be underestimated because once a mathematical model has been established to predict slope failure, it is then used indefinitely. For this reason, an autoregressive integrated moving average (ARIMA) model is used in this study as a time series analysis (ISA) method for the prediction of slope failure. Data obtained from the movements of tension cracks from six out of ten established stations in Iligin open pit lignite mine of Turkish Coal Enterprises, West Lignite Enterprises (TKI-GLI) were used to predict future values. The prediction results from the ARIMA method were also compared with results from regression methods and were shown to be more successful.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.
Research Topics
Domains
Physical Sciences
Fields
EngineeringEarth and Planetary Sciences
Subfields
Safety, Risk, Reliability and QualityMechanics of MaterialsEarth-Surface ProcessesMechanical EngineeringCivil and Structural Engineering
Specific Research Areas
Geotechnical Engineering and Analysis
Rock Mechanics and Modeling
Building materials and conservation
Mineral Processing and Grinding
Tunneling and Rock Mechanics
Sustainable Development Goals
11SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
Documents
16
Citations
209
h-index
7
Documents
14
Citations
197
Publication Collaboration
| Affiliation Name | Count |
|---|---|
| Konya Technical University | 7 |
| Selçuk University | 6 |
| Dumlupinar University | 1 |
| Universitat Politècnica de Catalunya | 1 |
| Kütahya Dumlupınar Üniversitesi | 1 |
1 / 1
Data obtained from OpenAlex
| Journal | Count |
|---|---|
| Konya Mühendislik Bilimleri Dergisi | 2 |
| MINING METALLURGY & EXPLORATION | 2 |
| Environmental Earth Sciences | 1 |
| JOURNAL OF THE SOUTHERN AFRICAN INSTITUTE OF MINING AND METALLURGY | 1 |
| MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW | 1 |
Current Page: 1 / 2
Scholarly Output
12
Articles
8
Views / Downloads
37/395
Supervised MSc Theses
4
Supervised PhD Theses
0
WoS Citation Count
21
Scopus Citation Count
27
Patents
0
Projects
0
WoS Citations per Publication
1.75
Scopus Citations per Publication
2.25
Open Access Source
8
Supervised Theses
4
Scopus Quartile Distribution
Competency Cloud
