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)
Performance Comparison of Particle Swarm Optimization and Genetic Algorithm for Back-analysis of Soil Layer Geotechnical Parameters

Leila Nikakhtar; Shokroallah Zare; Hossein Mirzaei Nasir Abad

Articles in Press, Accepted Manuscript, Available Online from 19 January 2023

https://doi.org/10.22044/jme.2023.12452.2260

Abstract
  Surface settlement induced by tunneling is one of the most crucial problems in urban environments. Hence, accurate prediction of soil geotechnical properties is an important prerequisite in the minimization of it. In this research work, the amount of surface settlement is predicted using three-dimensional ...  Read More

Reliability Analysis of Surface Settlement caused by Mechanized Tunneling-a Case Study

H. Fattahi; F. Jiryaee

Volume 13, Issue 1 , January 2022, , Pages 201-216

https://doi.org/10.22044/jme.2022.11570.2143

Abstract
  The surface settlement is an essential parameter in the operation of mechanized tunneling that should be determined before excavation. The surface settlement analysis caused by mechanized tunneling is a geo-technical problem characterized by various sources of uncertainty. Unlike the deterministic methods, ...  Read More

Exploitation
A Mathematical Model to Optimize Allocation Sequence in Dispatching Problem

M. Ghobadi Samani; M. Monjezi; J. Khademi Hamidi; A. Mousavinogholi

Volume 11, Issue 1 , January 2020, , Pages 185-192

https://doi.org/10.22044/jme.2019.8721.1766

Abstract
  Truck-Shovel fleet, as the most common transportation system in open-pit mines, has a significant part of mining costs, for which optimal management can lead to substantial cost reductions. Among the available dispatch mathematical models, the multi-stage approach is well suited for allocating trucks ...  Read More

Rock Mechanics
Predicting Unconfined Compressive Strength of Intact Rock Using New Hybrid Intelligent Models

M. Rezaei; M. Asadizadeh

Volume 11, Issue 1 , January 2020, , Pages 231-246

https://doi.org/10.22044/jme.2019.8839.1774

Abstract
  Bedrock unconfined compressive strength (UCS) is a key parameter in designing thegeosciences and building related projects comprising both the underground and surface rock structures. Determination of rock UCS using standard laboratory tests is a complicated, expensive, and time-consuming process, which ...  Read More

Rock Mechanics
Combining fuzzy RES with GA for predicting wear performance of circular diamond saw in hard rock cutting process

M. Akhyani; R. Mikaeil; F. Sereshki; M. Taji

Volume 10, Issue 3 , July 2019, , Pages 559-574

https://doi.org/10.22044/jme.2017.5770.1388

Abstract
  Predicting the wear performance of circular diamond saw in the process of sawing hard dimensional stone is an important step in reducing production costs in the stone sawing industry. In the present research work, the effective parameters on circular diamond saw wear are defined, and then the weight ...  Read More

Using a combination of genetic algorithm and particle swarm optimization algorithm for GEMTIP modeling of spectral-induced polarization data

F. Sharifi; A.R. Arab Amiri; A. Kamkar Rouhani

Volume 10, Issue 2 , April 2019, , Pages 493-505

https://doi.org/10.22044/jme.2019.7902.1655

Abstract
  The generalized effective-medium theory of induced polarization (GEMTIP) is a newly developed relaxation model that incorporates the petro-physical and structural characteristics of polarizable rocks in the grain/porous scale to model their complex resistivity/conductivity spectra. The inversion of the ...  Read More

A new stochastic 3D seismic inversion using direct sequential simulation and co-simulation in a genetic algorithm framework

H. Sabeti; A. Moradzadeh; F. Doulati Ardejani; A. Soares

Volume 8, Issue 3 , July 2017, , Pages 321-335

https://doi.org/10.22044/jme.2016.628

Abstract
  Stochastic seismic inversion is a family of inversion algorithms in which the inverse solution was carried out using geostatistical simulation. In this work, a new 3D stochastic seismic inversion was developed in the MATLAB programming software. The proposed inversion algorithm is an iterative procedure ...  Read More

Improved prediction of blast-induced vibrations in limestone mines using Genetic Algorithm

M. Ataei; F. Sereshki

Volume 8, Issue 2 , April 2017, , Pages 291-304

https://doi.org/10.22044/jme.2016.654

Abstract
  Like most limestone mines, which produce the raw materials required for cement companies, the transportation cost of the raw materials used in the Shahrood Cement Company is high. It has been tried to build the crushing and grinding plant close to the mine as much as possible. On the other hand, blasting ...  Read More

Application of artificial neural network and genetic algorithm to modelling the groundwater inflow to an advancing open pit mine

S. Bahrami; F. Doulati Ardejani

Volume 6, Issue 1 , January 2015, , Pages 21-30

https://doi.org/10.22044/jme.2014.330

Abstract
  In this study, a hybrid intelligent model has been designed to predict groundwater inflow to a mine pit during its advance. Novel hybrid method coupling artificial neural network (ANN) with genetic algorithm (GA) called ANN-GA, was utilised. Ratios of pit depth to aquifer thickness, pit bottom radius ...  Read More