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)
The Finite Difference Analysis of Empirical Tunnel Support Design in High Stress fractured rock mass Environment at the Bunji Hydropower Project, Pakistan

Hafeezur Rehman; Wahid Ali; Kausar sultan Shah; Mohd Hazizan bin Mohd Hashim; Naseer Muhammad Khan; Muhammad Ali; Muhammad Kamran; Muhammad Junaid

Volume 13, Issue 3 , July 2022, , Pages 781-795

https://doi.org/10.22044/jme.2022.12231.2219

Abstract
  Support design is the main goal of the Q and rock mass rating (RMR) systems. An assessment of the Q and RMR system application in tunnelling involving high-stress ground conditions shows that the first system is more appropriate due to the stress reduction factor. Recently, these two systems have been ...  Read More

A Stochastic Model Upgrading Gold Content in Cyanide Leaching using Monte Carlo Simulation

M. Kamran; Sh. Bacha; N. Mohammad

Volume 12, Issue 3 , July 2021, , Pages 619-631

https://doi.org/10.22044/jme.2021.10795.2046

Abstract
  This paper elucidates a new idea and concept for exploration of the gold ore deposits.  The cyanidation method is traditionally used for gold extraction. However, this method is laborious, time-consuming, costly, and depends upon the availability of the processing units. In this work, an attempt ...  Read More

A State of the art Catboost-Based T-Distributed Stochastic Neighbor Embedding Technique to Predict Back-break at Dewan Cement Limestone Quarry

M. Kamran

Volume 12, Issue 3 , July 2021, , Pages 679-691

https://doi.org/10.22044/jme.2021.11222.2104

Abstract
  The blasting operation is an important rock fragmentation technique employed in several foundation engineering disciplines such as mining, civil, tunneling, and road planning. Back-break (BB) is one of the adverse effects caused by the blasting operations that produces several effects including vulnerability ...  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