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 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Case Study
Application of Artificial Neural Networks and Support Vector Machines for carbonate pores size estimation from 3D seismic data

Andisheh Alimoradi; Ali Moradzadeh; Mohammad Reza Bakhtiari

Volume 4, Issue 1 , January 2013, Pages 1-14

https://doi.org/10.22044/jme.2013.140

Abstract
  This paper proposes a method for the prediction of pore size values in hydrocarbon reservoirs using 3D seismic data. To this end, an actual carbonate oil field in the south-western part ofIranwas selected. Taking real geological conditions into account, different models of reservoir were constructed ...  Read More

Case Study
Numerical modeling of the effects of joint hydraulic aperture, orientation and spacing on rock grouting using UDEC: A case study of Bakhtiary Dam of Iran

Omid Saeidi; Ahmad Ramezanzadeh; Farhang Sereshki; Seyed Mohammad Esmaeil Jalali

Volume 4, Issue 1 , January 2013, Pages 15-26

https://doi.org/10.22044/jme.2013.90

Abstract
  This study aims at presenting a numerical model for predicting grout flow and penetration length into the jointed rock mass using Universal Distinct Element Code (UDEC). The numerical model is validated using practical data and analytical method for grouting process. Input data for the modeling, including ...  Read More

Original Research Paper
Calculation of tunnel behavior in viscoelastic rock mass

Reza Rahmannejad; A.I. Sofianos

Volume 4, Issue 1 , January 2013, Pages 27-33

https://doi.org/10.22044/jme.2013.95

Abstract
  Wall displacements and ground pressure acting on the lining of a tunnel increase with time. These time-dependent deformations are both due to face advance effect and to the time-dependent behavior of the rock mass.  Viscoelastic materials exhibit both viscous and elastic behaviors. Thorough this ...  Read More

Case Study
Prediction of the deformation modulus of rock masses using Artificial Neural Networks and Regression methods

Javad Gholamnejad; HamidReza Bahaaddini; Morteza Rastegar

Volume 4, Issue 1 , January 2013, Pages 35-43

https://doi.org/10.22044/jme.2013.144

Abstract
  Static deformation modulus is recognized as one of the most important parameters governing the behavior of rock masses. Predictive models for the mechanical properties of rock masses have been used in rock engineering because direct measurement of the properties is difficult due to time and cost constraints. ...  Read More

Case Study
Influence of operating parameters on the Apatite flotation kinetics

Asghar Azizi; Ali Dehghani; Seyyed Zioddin Shafaei

Volume 4, Issue 1 , January 2013, Pages 45-55

https://doi.org/10.22044/jme.2013.94

Abstract
  AbstractThe purpose of this study was to investigate the controllable operating parameters influence, including pH, solid content, collector, co-collector, and depressant dose, and conditioning time, on apatite flotation kinetics. Four first order flotation kinetic models are tested on batch flotation ...  Read More

Case Study
Predicting Arsenic Behavior in the Wastewater of Mouteh Gold Plant by Geochemical Modeling

Mohammad Reza Samadzadeh Yazdi; Mohammad Reza Tavakoli Mohammadi; Ahmad Khodadadi

Volume 4, Issue 1 , January 2013, Pages 57-65

https://doi.org/10.22044/jme.2013.141

Abstract
  Arsenic is one of the heavy metals and nearly all its compounds, especially organic compounds, are toxic. The wide spectrum of diseases caused by this element has led to evaluation of the toxicity of different arsenic species and identification of the major natural and anthropogenic pollution sources ...  Read More

Case Study
Multiphase flow and tromp curve simulation of dense medium cyclones using Computational Fluid Dynamics

Akbar Farzanegan; Morteza Gholami; M. H. Rahimian

Volume 4, Issue 1 , January 2013, Pages 67-76

https://doi.org/10.22044/jme.2013.142

Abstract
  Dense Medium Cyclone is a high capacity device that is widely used in coal preparation. It is simple in design but the swirling turbulent flow, the presence of medium and coal with different density and size fraction and the presence of the air-core make the flow pattern in DMCs complex. In this article ...  Read More