Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Application of Machine Learning Techniques to Predict Haul Truck Fuel Consumption in Open-Pit Mines

S. Alamdari; M.H. Basiri; A. Mousavi; A. Soofastaei

Volume 13, Issue 1 , January 2022, , Pages 69-85

https://doi.org/10.22044/jme.2022.11577.2145

Abstract
  The haul trucks consume a significant energy source in open-pit mines, where diesel fuel is widely used as the main energy source. Improving the haul truck fuel consumption can considerably decrease the operating cost of mining, and more importantly, reduce the pollutants and greenhouse gas emissions. ...  Read More

A Probabilistic Approach for Prediction of Drilling Rate Index using Ensemble Learning Technique

M. Kamran

Volume 12, Issue 2 , April 2021, , Pages 327-337

https://doi.org/10.22044/jme.2021.10689.2030

Abstract
  Drillability is one of the significant issues in rock engineering. The drilling rate index (DRI) is an important tool in analyzing the drillability of rocks. Several efforts have been made by the researchers to correlate and evaluate DRI of rocks. The ensemble learning methods including the decision ...  Read More

Rock Mechanics
A review of Rock Burst’s Experimental Progress, Warning, Prediction, Control and Damage Potential Measures

Sh. Bacha; Z. Mu Long; A. Javed; Sh. Al Faisal

Volume 11, Issue 1 , January 2020, , Pages 31-48

https://doi.org/10.22044/jme.2019.9092.1797

Abstract
  Rock burst is the most attractive and hot research area in geomechanics, mining, and civil engineering due to the increasing depth of mines and construction of deep underground structures. It has also been a severe problem in ground control measures in the last few decades. Many studies have been done ...  Read More

Rock Mechanics
Bayesian prediction of rotational torque to operate horizontal drilling

H. Fattahi; N. Zandy Ilghani

Volume 10, Issue 2 , April 2019, , Pages 507-515

https://doi.org/10.22044/jme.2019.7912.1657

Abstract
  Horizontal directional drilling is usually used in drilling engineering. In a variety of conditions, it is necessary to predict the torque required for performing the drilling operation. Nevertheless, there is presently not a convenient method available to accomplish this task. In order to overcome this ...  Read More

Risk prediction based on a time series case study: Tazareh coal mine

M. Mohseni; M. Ataei

Volume 7, Issue 1 , January 2016, , Pages 127-134

https://doi.org/10.22044/jme.2016.514

Abstract
  In this work, the time series modeling was used to predict the Tazareh coal mine risks. For this purpose, initially, a monthly analysis of the risk constituents including frequency index and incidence severity index was performed. Next, a monthly time series diagram related to each one of these indices ...  Read More

Limestone chemical components estimation using image processing and pattern recognition techniques

F. Khorram; H. Memarian; B. Tokhmechi; H. Soltanian-zadeh

Volume 2, Issue 2 , July 2011, , Pages 126-135

https://doi.org/10.22044/jme.2011.539

Abstract
  In this study based on image analysis, an ore grade estimation model was developed. The study was performed at a limestone mine in central Iran. The samples were collected from different parts of the mine and crushed in size from 2.58 cm down to 15 cm. The images of the samples were taken in appropriate ...  Read More