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)
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


  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

Investigating Correlation of Physico-Mechanical Parameters and P-Wave Velocity of Rocks: a Comparative Intelligent Study

H. Fattahi; M. Hasanipanah; N. Zandy Ilghani

Volume 12, Issue 3 , July 2021, , Pages 863-875


  The mechanical characteristics of rocks and rock masses are considered as the determining factors in making plans in the mining and civil engineering projects. Two factors that determine how rocks responds in varying stress conditions are P-wave velocity (PWV) and its isotropic properties. Therefore, ...  Read More

A New Method for Predicting Indirect Tensile Strength of Sandstone Rock Samples

H. Fattahi

Volume 11, Issue 3 , July 2020, , Pages 899-908


  The tensile strength (σt) of a rock plays an important role in the reliable construction of several civil structures such as dam foundations and types of tunnels and excavations. Determination of σt in the laboratory can be expensive, difficult, and time-consuming for certain projects. Due ...  Read More

A New Method for Forecasting Uniaxial Compressive Strength of Weak Rocks

Hadi Fattahi

Volume 11, Issue 2 , April 2020, , Pages 505-515


  The uniaxial compressive strength of weak rocks (UCSWR) is among the essential parameters involved for the design of underground excavations, surface and underground mines, foundations in/on rock masses, and oil wells as an input factor of some analytical and empirical methods such as RMR and RMI. The ...  Read More

Rock Mechanics
Bayesian prediction of rotational torque to operate horizontal drilling

H. Fattahi; N. Zandy Ilghani

Volume 10, Issue 2 , April 2019, , Pages 507-515


  Horizontal directional drilling is usually used in drilling engineering. In a variety of conditions, it is necessary to predict the torque required for performing the drilling operation. Nevertheless, there is presently not a convenient method available to accomplish this task. In order to overcome this ...  Read More

Rock Mechanics
A Monte Carlo simulation technique for assessment of earthquake-induced displacement of slopes

H. Fattahi; N. Babanouri; Z. Varmaziyari

Volume 9, Issue 4 , October 2018, , Pages 959-966


  The dynamic response of slopes against earthquake is commonly characterized by the earthquake-induced displacement of slope (EIDS). The EIDS value is a function of several variables such as the material properties, slope geometry, and earthquake acceleration. This work is aimed at the prediction of EIDS ...  Read More

Predicting tensile strength of rocks from physical properties based on support vector regression optimized by cultural algorithm

H. Fattahi; N. Babanouri

Volume 8, Issue 3 , July 2017, , Pages 467-474


  The tensile strength (TS) of rocks is an important parameter in the design of a variety of engineering structures such as the surface and underground mines, dam foundations, types of tunnels and excavations, and oil wells. In addition, the physical properties of a rock are intrinsic characteristics, ...  Read More

Prediction of slope stability using adaptive neuro-fuzzy inference system based on clustering methods

H. Fattahi

Volume 8, Issue 2 , April 2017, , Pages 163-177


  Slope stability analysis is an enduring research topic in the engineering and academic sectors. Accurate prediction of the factor of safety (FOS) of slopes, their stability, and their performance is not an easy task. In this work, the adaptive neuro-fuzzy inference system (ANFIS) was utilized to build ...  Read More

Use of artificial intelligence techniques to predict distribution of heavy metals in groundwater of Lakan lead-zinc mine in Iran

Z. Bayatzadeh Fard; F. Ghadimi; H. Fattahi

Volume 8, Issue 1 , January 2017, , Pages 35-48


  Determining the distribution of heavy metals in groundwater is important in developing appropriate management strategies at mine sites. In this paper, the application of artificial intelligence (AI) methods to data analysis,namely artificial neural network (ANN), hybrid ANN with biogeography-based optimization ...  Read More