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
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

Articles in Press, Accepted Manuscript, Available Online from 18 November 2024

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
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
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
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

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

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

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

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

SIDDHARTHA ROY; Hemant Agrawal; 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
An Investigation of the Cumulative Impact of Decking Length and Firing Pattern on Blasting Results

Sri Chandrahas; Bhanwar Singh Choudhary; MS Venkataramayya; Yewuhalashet Fissha; Blessing Olamide Taiwo

Volume 16, Issue 1 , January 2025, , Pages 97-110

https://doi.org/10.22044/jme.2024.14555.2743

Abstract
  To conducting efficient blasting operations, one needs to analyze the bench geology, structural and dimensional parameters to obtain the required optimum fragmentation with minimum amount of ground vibration. Joints presence causes difficulty during drilling and subsequent rock breakage mechanism. An ...  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