Dergiler / Scientific Mining Journal

Scientific Mining Journal, which is published in open access electronic environment and in printed, is a periodical scientific journal of the Chamber of Mining Engineers of Turkey ( www.maden.org.tr ). The Journal, published four times a year, aims to disseminate original scientific studies which are conducted according to the scientific norms and publication ethics at national and international scale, to scientists, mining engineers, the public; and thus to share scientific knowledge with society. The journal is in English. The journal covers theoretical, experimental, and applied research articles, which reflects the findings and results of an original research in the field of mining engineering; review articles, which assess, evaluates, and interprets the findings of a comprehensive review of sufficient number of scientific articles and summarize them at present information and technology level; technical notes, which may be defined as a short article that describes a novel methodology or technique; a case studies, which are based on the theoretical or real professional practice and involves systematic data collection and analysis. Submitted manuscripts are evaluated by the editorial board and expert referees independently in accordance with the best practices in academic publishing. The publishing rights of the manuscripts, approved for publication at the end of the evaluation process, are transferred to the Chamber of Mining Engineers by the authors.

2023 · Cilt: 62 Sayı: 3

MakaleYazarSayfa
Estimating support pressure with finite element and convergence-confinement method for different rock massesHüseyin Onur DÖNMEZ, Hakan TUNÇDEMİR99–108
Enhancing the bearing capacity of friction anchor bolts through cementitious concrete injection for reinforced support in underground mineSoufı AMINE109–122
Utilization of wastes/by-products as a grinding additiveSerkan ÇAYIRLI, Hasan Serkan GÖKÇEN, Nuri YÜCE, Obaidullah ELCHİ123–130
Dust Pollution Characteristics and Control Measures of Open Pit Coal MineLeng WU, Ziling SONG131–140
Evaluating machine utilization times for roadheaders used in coal mines: Regression and artificial neural network analysesSair KAHRAMAN, Masoud ROSTAMİ, Behnaz DİBAVAR141–151