Volume 16 (2025)
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)
Exploitation
Engineering Challenges and Remedial Measures in Black Cotton Soil Dump Adjacent to Hamlet: A Case Study from Opencast Mine

Rahul Shende; Omkar Navagire; Himanshu Kumar Jangir; Srinivasan V.; Anirban Mandal; Anjan Patel

Articles in Press, Accepted Manuscript, Available Online from 26 May 2025

https://doi.org/10.22044/jme.2025.15137.2896

Abstract
  Due to its intricate challenges, Black cotton (BC) soil is dumped separately in mining areas, and this study focuses on a BC soil dump at an open-cast mine site. This soil, characterized by cohesion of 26-40 kPa and internal friction angle of 13°-17°, exhibits significant expansion and contraction ...  Read More

Exploitation
An Investigation on Influence of Diameter of Blast Holes on Ground Vibration at a Mega Opencast Coal Mine Using Explicit Dynamics

Hemant Agrawal; SIDDHARTHA ROY; Chitranjan Prasad Singh

Articles in Press, Accepted Manuscript, Available Online from 20 April 2025

https://doi.org/10.22044/jme.2025.15660.3009

Abstract
  Deep hole blasting is essential for high-capacity excavators like draglines and shovels to achieve high production targets in opencast coal mining. However, a critical challenge associated with deep hole blasting is ground vibration, which poses risks to nearby infrastructure, including power plants, ...  Read More

Exploitation
Application of machine learning algorithms for prediction of blast-induced ground vibration in view of stiffness ratio, energy coverage and scaled distance

Yaşar Ağan; Türker Hüdaverdi

Articles in Press, Accepted Manuscript, Available Online from 16 May 2025

https://doi.org/10.22044/jme.2025.15686.3016

Abstract
  The purpose of this research work is to predict blast induced ground vibration in surface mine by using classical and machine learning algorithms. For the purpose of minimizing blast-induced ground vibration to acceptable levels, the level of vibration must be predicted. Blast-induced ground vibration ...  Read More

Exploitation
Stemming Materials Assessing and Its Effect on Rock Fragmentation Using Digital Image Analysis at the Chouf Amar Quarry, M’sila, Algeria

Kamel Menacer; Abderrazak Saadoun; Abdellah Hafsaoui; Mohamed Fredj; Abdelhak Tabet; Djamel Eddine BOUDJELLAL; Riadh Boukarm; Radouane Nakache

Articles in Press, Accepted Manuscript, Available Online from 02 June 2025

https://doi.org/10.22044/jme.2025.16106.3107

Abstract
  Mining blasting efficiency is essential for mining operations for economic and technical reasons. Rock blasting operations should be conducted optimally to obtain a particle size distribution that optimises downstream operations, such as loading, transport, crushing, and grinding. The nature of the stemming ...  Read More

Exploitation
Investigation of the relationship between texture coefficient and abrasivity properties of granite building stones

Ali Rezaei; Ebrahim Ghasemi; Ali Farhadian; Sina Ghavami

Articles in Press, Accepted Manuscript, Available Online from 29 March 2025

https://doi.org/10.22044/jme.2025.15208.2912

Abstract
  In this study, a comprehensive investigation has been done on 10 different types of granite building stones from various mines in Iran. The study aims to investigate the relationship between the texture coefficient (TC) and abrasivity properties of the studied stones. Abrasivity of stones was quantified ...  Read More

Exploitation
Investigation on Relationship between Rock Characteristics and Blasting Fragmentation using Fractal Analysis

Masoud Monjezi; Morteza Baghestani; Peyman Afzal; Ali Reza Yarahmadi Bafghi; Seyyed Ali Hashemi

Articles in Press, Accepted Manuscript, Available Online from 24 November 2024

https://doi.org/10.22044/jme.2024.15240.2917

Abstract
  Blasting is an essential operation in mining projects, significantly affecting the particle-size distribution, which is critical for subsequent processes such as loading, hauling, and milling. Effectiveness of the blasting operations rely on accurate rock characterization, especially when dealing with ...  Read More

Exploitation
Comparison of methods for assessing the recoverable reserves of the Miduk copper deposit using estimation techniques and conditional simulation.

Mojtaba Dehghani Javazm; Mohammadreza Shayestehfar

Articles in Press, Accepted Manuscript, Available Online from 08 March 2025

https://doi.org/10.22044/jme.2025.15386.2956

Abstract
  In this work, various methods for evaluating recoverable reserves including estimation techniques and conditional simulation have been compared in the Miduk copper deposit using data from 55,119 blast holes and 6,178 composite samples from exploratory drillings in the supergene and hypogene zones, with ...  Read More

Exploitation
Optimization of Delay Times for Reducing Blast-induced Ground Vibration in the Golgohar Mine Using the Signature Hole Analysis

Moein Bahadori; Moahammad Amiri Hosseini; Iman Atighi

Articles in Press, Accepted Manuscript, Available Online from 06 April 2025

https://doi.org/10.22044/jme.2025.15442.2960

Abstract
  As open-pit mining advances, the decreasing separation between blast blocks and surface structures necessitates rigorous control of induced ground vibrations to mitigate structural risks. This study performed 13 single-hole blasting operations at the Golgohar Sirjan Iron Mine processing plant to evaluate ...  Read More

Exploitation
Prediction of rock fragmentation using Ant Lion Optimizer (ALO) and Crow Search Algorithm (CSA)

Alireza Afradi; Arash Ebrahimabadi

Articles in Press, Accepted Manuscript, Available Online from 29 January 2025

https://doi.org/10.22044/jme.2025.15546.2981

Abstract
  Rock-fragmentation is generally regarded as a crucial indicator within the mining industry for evaluating the effects of blasting operations. In this work, a database was primarily constructed using field data to predict rock fragmentation in the mines of Anguran and Sarcheshmeh. The datasets comprised ...  Read More

Exploitation
The optimization of statistical models for predicting blast-induced backbreak in mining using the Firefly Algorithm A case study

Abbas Khajouei Sirjani; Ruqyah Heydari; Ramin Rafiee; Mohammad Amiri Hosseini

Articles in Press, Accepted Manuscript, Available Online from 04 May 2025

https://doi.org/10.22044/jme.2025.15683.3014

Abstract
  In open-pit mining blasting operations, one of the most critical parameters that must be continuously and precisely monitored and evaluated is the extent of back-break caused by the blasts. This phenomenon can lead to mine wall instability, collapse of mining equipment, increased dilution rates, and ...  Read More

Exploitation
Productivity Evaluation in Open Pit Mining Using Machine Learning Methods

Heydar Bagloo; Mohsen Soleiman Dehkordi

Articles in Press, Accepted Manuscript, Available Online from 28 April 2025

https://doi.org/10.22044/jme.2025.15692.3017

Abstract
  Loading and haulage operations in open-pit mining represent a significant portion of overall costs. Among various load and transport systems, the shovel-truck method is favored for its flexibility. Consequently, extensive research has been conducted to optimize this system, resulting in numerous productivity-enhancing ...  Read More

Exploitation
A new model for predicting the spontaneous combustion of coal potential based on decision tree

Hasan Ghasemzadeh; Hassan Madani; Farhang Sereshki; Sajjad Afraei

Articles in Press, Accepted Manuscript, Available Online from 04 June 2025

https://doi.org/10.22044/jme.2025.15288.2929

Abstract
  One of the most prevalent risks in coal mines is spontaneous combustion (spon com) of coal, which is a major source of coal loss in these environments. Therefore, to avoid coal loss and preventing the potential risks, a criterion for predicting the spon com of coal is essential. The main purpose of this ...  Read More

Exploitation
Application of intelligent methods in predicting penetration rate of drill bits in open-pit mining

Ali Nemati vardni; Masoud Monjezi; Hasel Amini Khoshalan; Jafar Hamidi Khademi; Mojtaba Rezakhah

Articles in Press, Accepted Manuscript, Available Online from 30 June 2025

https://doi.org/10.22044/jme.2025.15933.3065

Abstract
  Drilling is one of the most important operations in open-pit mining, and the penetration rate of drill bits is a key performance measure. This paper presents research on the penetration rate of drill bits based on mining rock mass rating, thrust pressure (weight on bit), rotational pressure, and Schmidt ...  Read More

Exploitation
A Profit-based Mixed Integer Programming Model for Stope Boundary Optimization and Implementation in Indian Copper Deposits

Gopinath Samanta; Tapan Dey; Suranjan Sinha

Volume 16, Issue 4 , July and August 2025, , Pages 1179-1193

https://doi.org/10.22044/jme.2025.14801.2812

Abstract
  The optimal layout of the stope (stope boundary) in an underground metal mine maximizes the profit of a deposit, subject to the geotechnical and operational mining constraints such as stope length, stope width, stope height. Various approaches have been introduced to address the stope boundary optimization ...  Read More

Exploitation
Optimization of Fragmentation and Operational Costs of Drilling and Blasting using Hybrid Machine Learning Models in an Open-Pit Mine in Peru

Marco Antonio Cotrina Teatino; Jairo Jhonatan Marquina Araujo; Jose Nestor Mamani Quispe; Solio Marino Arango-Retamozo; Johnny Henrry Ccatamayo-Barrios; Joe Alexis Gonzalez-Vasquez; Teofilo Donaires-Flores; Maxgabriel Alexis Calla-Huayapa

Volume 16, Issue 4 , July and August 2025, , Pages 1195-1219

https://doi.org/10.22044/jme.2025.15049.2873

Abstract
  Mining plays a crucial role in the economy of many countries, contributing significantly to GDP, employment, and industrial development. However, optimizing drilling and blasting operations remains a key challenge in open-pit mining due to its direct impact on operational costs and rock fragmentation ...  Read More

Exploitation
Estimation of Button Bit Drillability Index on Granitic Rocks using their Mineralogy Composition and Rock Strength

Patrick Adeniyi Adesida; Sunday Adex Adaramola

Volume 16, Issue 4 , July and August 2025, , Pages 1237-1251

https://doi.org/10.22044/jme.2025.15185.2901

Abstract
  This study focuses on predicting the drillability of granitic rocks—precisely the wear rate of button bits, by integrating rock strength and mineralogical properties. The objective is to develop a predictive model for bit wear rate using a Rock Engineering System (RES) approach. Key rock parameters ...  Read More

Exploitation
Assessing structural challenges in potash mining: Perspectives from Yara solution mining, Dallol Depression, Northern Afar, Ethiopia

Gebremariam Mesele; Miruts Hagos; Bheemalingeswara Konka; Tsegabrhan Gebreset; Misgan Molla; N Rao Cheepurupalli; Girmay Hailu; Negassi Debeb; Assefa Hailesilasie

Volume 16, Issue 4 , July and August 2025, , Pages 1253-1268

https://doi.org/10.22044/jme.2025.15254.2921

Abstract
  The Dallol Depression, located in the northern Danakil Depression, has a complex geological history shaped by Afar rifting, containing approximately 1.7 km of evaporite deposits. These deposits, heavily influenced by volcanic activity and extensional tectonic faulting, exhibit significant structural ...  Read More

Exploitation
Prediction and Optimization of Ground Vibration Caused by Blasts Using a Combination of Statistical Models and FROG Algorithm (Case Study: Gol-e-Gohar Iron Ore Mine No. 1)

Abbas Khajouei Sirjani; Farhang Sereshki; Mohammad Ataei; Mohammad Amiri Hossaini

Volume 16, Issue 4 , July and August 2025, , Pages 1403-1416

https://doi.org/10.22044/jme.2024.14747.2793

Abstract
  The most significant detrimental consequence of blasting operations is ground vibration. This phenomenon not only causes instability in the mine walls but also extends its destructive effects to various facilities and structures over several kilometers. Various researchers have proposed equations for ...  Read More

Exploitation
Design and Fabrication of a Rock-Cutting Tracker using a Laser Relay Transceiver in a Novel Drilling Approach based on an AVR Microcontroller

Hamid Saberi; Mohammad Golmohammadi; Mohammadali Zanjani; Yaghoub Saberi

Volume 16, Issue 4 , July and August 2025, , Pages 1487-1499

https://doi.org/10.22044/jme.2025.14923.2844

Abstract
  The Bavanapadu-Nuvvalarevu coastal sector in Andhra Pradesh, India, hosts substantial subsurface heavy mineral (HM) resources, presenting significant economic potential. This study employs ArcGIS raster techniques to estimate Total Heavy Mineral (THM) and Total Economic Heavy Mineral (TEHM) resources ...  Read More

Exploitation
Improving Open-Pit Mining Efficiency: Economic and Operational Benefits of the Power Deck Method-A Case Study

Hadi Fattahi; Mohammad Amirabadifarahani; Hossein Ghaedi

Volume 16, Issue 4 , July and August 2025, , Pages 1501-1519

https://doi.org/10.22044/jme.2025.14952.2849

Abstract
  This study introduces an innovative application of the Power Deck method to optimize drilling and blasting operations in open-pit mining, with a focus on the Nizar cement factory in Qom, Iran. Unlike traditional blasting techniques, this method strategically utilizes a controlled air gap at the end of ...  Read More

Exploitation
Detection of Ore Type in Drilling Cores Using Machine Vision Algorithm

Pouya Nobahar; Yashar Pourrahimian; Roohollah Shirani Faradonbeh; Fereydoun Mollaei Koshki

Volume 16, Issue 3 , May and June 2025, , Pages 789-809

https://doi.org/10.22044/jme.2024.14538.2739

Abstract
  Mineral reserve evaluation and ore type detection using data from exploratory boreholes are critical in mine design and extraction. However, preparing core samples and conducting chemical and physical tests is a time-consuming and costly procedure, slowing down the modeling process. This paper presents ...  Read More

Exploitation
Enhancing Transportation Fleet Efficiency in Open-Pit Mining via Simulation: a Case Study

Somaye Khajevand; Mojtaba Rezakhah; Masoud Monjezi; Fabián Alejandro Manríquez León

Volume 16, Issue 3 , May and June 2025, , Pages 997-1007

https://doi.org/10.22044/jme.2024.15094.2889

Abstract
  Efficient loading and hauling systems, with trucks and shovels as the primary transportation machinery, are essential for optimizing mining operations. This study introduces a simulation-based approach to enhance the utilization of the hauling system in an Abbasbad copper mine in Iran. A dynamic truck ...  Read More

Exploitation
Application of Clustering Methods to Identify High-grade Zones a Case Study: Lar Porphyry Deposit, Sistan and Baluchistan Province, Southeastern Iran

Moslem Jahantigh; Hamidreza Ramazi

Volume 16, Issue 3 , May and June 2025, , Pages 1063-1072

https://doi.org/10.22044/jme.2024.14582.2747

Abstract
  Various methods have been used for clustering big data. Pattern recognition methods are suitable methods for clustering these data. Due to the large volume of samples taken in the drilling of mines and their analysis for various elements, this category of geochemical data can be considered big data. ...  Read More

Exploitation
Stability Assessment of Stopping Operations in Friable Ore Bodies under an Open Pit Mine using Strength-based Mining Sequence Factor

Sruti Narwal; Debasis Deb; Sreenivasa Rao Islavath; Gopinath Samanta

Volume 16, Issue 2 , March 2025, , Pages 479-501

https://doi.org/10.22044/jme.2024.14872.2828

Abstract
  A novel underground mining method is proposed to extract friable chromite ore bodies in weak and weathered limonitic host rock below an open-pit mine. The conventional underground methods do not instil confidence since GSI (Geological Strength Index) of ore bodies and host rock lies below 35. Series ...  Read More

Exploitation
Simultaneous Optimization of Mine Production Rate and Cut-off Grade using Particle Swarm Optimization

Javad Lotfi Godarzi; Ahmad Reza Sayadi; Amin Mousavi; Micah Nehring

Volume 16, Issue 2 , March 2025, , Pages 583-598

https://doi.org/10.22044/jme.2024.13943.2601

Abstract
  The production rate and cut-off grade are two critical variables in the design and planning of open-pit mines. Generally, the production rate depends on the reserve amount, which is influenced by the cut-off grade. Additionally, the cut-off grade is affected by the production cost, which is influenced ...  Read More