Volume 15 (2024)
Volume 14 (2023)
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)
A Hybrid Model for Back-Break Prediction using XGBoost Machine learning and Metaheuristic Algorithms in Chadormalu Iron Mine

Zohreh Nabavi; Mohammad Mirzehi; Hesam Dehghani; Pedram Ashtari

Volume 14, Issue 2 , April 2023, , Pages 689-712

https://doi.org/10.22044/jme.2023.12796.2323

Abstract
  Back-break is one of the adverse effects of blasting, which results in unstable mine walls, high duration, falling machinery, and inappropriate fragmentation. Thus, the economic benefits of the mine are reduced, and safety is severely affected. Back-break can be influenced by various parameters such ...  Read More

Developing New Models for Flyrock Distance Assessment in Open-Pit Mines

J. Shakeri; H. Amini Khoshalan; H. Dehghani; M. Bascompta; K. Onyelowe

Volume 13, Issue 2 , April 2022, , Pages 375-389

https://doi.org/10.22044/jme.2022.11805.2170

Abstract
  In this research work, a comprehensive study is conducted to predict flyrock as a typical and undesirable phenomenon occurring during the blasting operation in open-pit mining. Despite the availability of several empirical methods for predicting the flyrock distance, the complexity of flyrock analysis ...  Read More

Exploitation
Prediction of Fly-rock using Gene Expression Programming and Teaching–learning-based Optimization Algorithm

R. Shamsi; M. S. Amini; H. Dehghani; M. Bascompta; B. Jodeiri Shokri; Sh. Entezam

Volume 13, Issue 2 , April 2022, , Pages 391-406

https://doi.org/10.22044/jme.2022.11825.2171

Abstract
  This paper attempted to estimate the amount of flyrock in the Angoran mine in Zanjan province, Iran using the gene expression programming (GEP) predictive technique. The input data, including flyrock, mean depth of the hole, powder factor, stemming, explosive weight, number of holes, and booster were ...  Read More

Design of Loading and Transportation Fleet in Open-Pit Mines using Simulation Approach and Metaheuristic Algorithms

H. hadizadeh Ghaziania; M. Monjezi; A. Mousavi; H. Dehghani; E. Bakhtavar

Volume 12, Issue 4 , October 2021, , Pages 1177-1188

https://doi.org/10.22044/jme.2022.11450.2131

Abstract
  The production cycle in open-pit mines includes the drilling, blasting, loading, and haulage. Since loading and haulage account for a large part of the mining costs, it is very important to optimize the transport fleet from the economic viewpoint. Simulation is one of the most widely used methods in ...  Read More

Prediction of Acid Mine Drainage Generation Potential of A Copper Mine Tailings Using Gene Expression Programming-A Case Study

B. Jodeiri Shokri; H. Dehghani; R. Shamsi; F. Doulati Ardejani

Volume 11, Issue 4 , October 2020, , Pages 1127-1140

https://doi.org/10.22044/jme.2020.10031.1938

Abstract
  This work presents a quantitative predicting likely acid mine drainage (AMD) generation process throughout tailing particles resulting from the Sarcheshmeh copper mine in the south of Iran. Indeed, four predictive relationships for the remaining pyrite fraction, remaining chalcopyrite fraction, sulfate ...  Read More

Mine Economic and Management
Forecasting copper price using gene expression programming

H. Dehghani

Volume 9, Issue 2 , April 2018, , Pages 349-360

https://doi.org/10.22044/jme.2017.6195.1435

Abstract
  Forecasting the prices of metals is important in many aspects of economics. Metal prices are also vital variables in financial models for revenue evaluation, which forms the basis of an effective payment regime using resource policymakers. According to the severe changes of the metal prices in the recent ...  Read More

A new model for mining method selection based on grey and TODIM methods

H. Dehghani; A. Siami; P. Haghi

Volume 8, Issue 1 , January 2017, , Pages 49-60

https://doi.org/10.22044/jme.2016.626

Abstract
  One of the most important steps involved in mining operations is to select an appropriate extraction method for mine resources. After choosing the extraction method, it is usually impossible to replace it with another one because it may be so expensive that implementation of the entire project could ...  Read More

Estimation of penetration rate of tunnel boring machines using Monte-Carlo simulation method

H. Dehghani; N. Mikhak Beiranvand

Volume 7, Issue 2 , July 2016, , Pages 175-184

https://doi.org/10.22044/jme.2016.513

Abstract
  One of the most important parameters used for determining the performance of tunnel boring machines (TBMs) is their penetration rate. The parameters affecting the penetration rate can be divided in two categories. The first category is the controllable parameters such as the TBM technical characteristics, ...  Read More

Reliability-based maintenance scheduling of powered supports in Tabas mechanized coal mine

Amid Morshedlou; Hesam Dehghani; Seyed Hadi Hoseinie

Volume 5, Issue 2 , July 2014, , Pages 113-120

https://doi.org/10.22044/jme.2014.327

Abstract
  Utilizing the gathered failure data and failure interval data from Tabas coal mine in two years, this paper discusses the reliability of powered supports. The data sets were investigated using statistical procedures and in two levels: the existence of trend and serial correlation. The results show that ...  Read More