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Mohammad reza Motahari
Mohammad reza Motahari
Associate Prof Geotechnical Eng, Arak University
Correu electrònic verificat a araku.ac.ir
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Improving the performance of LSSVM model in predicting the safety factor for circular failure slope through optimization algorithms
F Zeng, M Nait Amar, AS Mohammed, MR Motahari, M Hasanipanah
Engineering with Computers, 1-12, 2021
452021
Evaluation and prediction of the rock static and dynamic parameters
M Khosravi, S Tabasi, HH Eldien, MR Motahari, SM Alizadeh
Journal of Applied Geophysics 199, 104581, 2022
312022
Hybridization of parametric and non-parametric techniques to predict air over-pressure induced by quarry blasting
X Zhou, DJ Armaghani, J Ye, M Khari, MR Motahari
Natural Resources Research 30, 209-224, 2021
262021
Modeling the dependency of suction stress characteristic curve on void ratio in unsaturated soils
AA Heshmati, MR Motahari
KSCE Journal of Civil Engineering 19, 91-97, 2015
232015
Two novel combined systems for predicting the peak shear strength using RBFNN and meta‑heuristic computing paradigms
J Gao, MN Amar, MR Motahari, M Hasanipanah, DJ Armaghani
Engineering with Computers, 2020
212020
Identification of key parameters on soil water characteristic curve
AA Heshmati, MR Motahari
LSJ 9 (3), 1532-1537, 2012
192012
Automated design of a new integrated intelligent computing paradigm for constructing a constitutive model applicable to predicting rock fractures
K Peng, M Nait Amar, H Ouaer, MR Motahari, M Hasanipanah
Engineering with Computers, 1-12, 2020
172020
Estimation of dynamic properties of sandstones based on index properties using artificial neural network and multivariate linear regression methods
SM Alizadeh, A Iraji, S Tabasi, AAA Ahmed, MR Motahari
Acta Geophysica 70 (1), 225-242, 2022
112022
Investigation of the geotechnical properties and estimation of the relative density from the standard penetration test in sandy soils (case study: north east of Iran)
MR Motahari, O Amini, A Khoshghalb, M Etemadifar, N Alali
Geotechnical and Geological Engineering 40 (5), 2425-2442, 2022
92022
Machine learning classifiers for modeling soil characteristics by geophysics investigations: a comparative study
CS Lim, ET Mohamad, MR Motahari, DJ Armaghani, R Saad
Applied Sciences 10 (17), 5734, 2020
92020
Comparison of dynamic and static properties of sandstone and estimation of shear wave velocity and Poisson’s ratio
MR Motahari, O Amini, A Iraji, O Mahdizadeh Gohari, M Saffarian
Bulletin of Engineering Geology and the Environment 81 (9), 384, 2022
72022
Modeling and studying the impact of soil plasticity on the site amplification factor in ground motion prediction equations
K Horri, M Mousavi, MR Motahari, A Farhadi
Journal of Seismology 23 (6), 1179-1200, 2019
72019
The effect of soil stiffness variations on Tunnel Lining Internal Forces under seismic loading and Case comparison with existing analytical methods
R Zamani, MR Motahari
Ciência e Natura 37 (6-1), 476-487, 2015
62015
A Two-Stage Method for Damage Identification in Concrete Gravity Dams by Using a Modal Curvature-Based Index and Pathfinder Algorithm
P Mohebian, MR Motahari, SBB Aval
Arabian Journal for Science and Engineering 49 (4), 5927-5947, 2024
42024
Damage detection in retaining wall structures through a finite element model updating approach
P Mohebian, MR Motahari, H Rahami
Asian Journal of Civil Engineering 24 (8), 3613-3626, 2023
42023
Appraisal of rock dynamic, physical, and mechanical properties and forecasting shear wave velocity using machine learning and statistical methods
FA Alenizi, AH Mohammed, SM Alizadeh, OM Gohari, MR Motahari
Journal of Applied Geophysics 223, 105216, 2024
32024
Prediction of Rock Tensile Strength Using Soft Computing and Statistical Methods
J Zheng, M Shen, MR Motahari, M Khajehzadeh
Periodica Polytechnica Civil Engineering 67 (3), 902-913, 2023
32023
Studying Performance of PVDs on Consolidation Behavior of soft Clayey Soils Using FEM, Mahshahr Oil Storages
MR Motahari, H Kiani Vafa
Journal of civil Engineering and Materials Application 4 (2), 75-88, 2020
32020
Estimation of the Pre-Consolidation Pressure in Soils Using ANN method
MR Motahari
Current World Environment 11 (Special Issue), 83, 2016
32016
Effective Machine-Learning Models for Rock Mass Deformation Modulus Estimation Based on Rock Mass Classification Systems
M Khajehzadeh, S Keawsawasvong, MR Motahari, P Jamsawang
Eng. Sci 29 (1120), 1120, 2024
22024
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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