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 | 37 | 2021 |
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 | 23 | 2021 |
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 | 22 | 2022 |
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 | 21 | 2015 |
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 | 17 | 2020 |
Identification of key parameters on soil water characteristic curve AA Heshmati, MR Motahari LSJ 9 (3), 1532-1537, 2012 | 16 | 2012 |
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 | 12 | 2020 |
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 | 9 | 2020 |
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 | 8 | 2022 |
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 | 8* | 2022 |
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 | 6 | 2019 |
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 | 5 | 2015 |
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 | 4 | 2022 |
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 | 3 | 2023 |
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 | 3 | 2020 |
Estimation of the Pre-Consolidation Pressure in Soils Using ANN method MR Motahari Current World Environment 11 (Special Issue), 83, 2016 | 3 | 2016 |
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 | 1 | 2023 |
Comparing Empirical Models with ANN in Estimation of Vibrations Resulted from Blasting, Dareh-Baq Dam MR Motahari International Journal of Nonlinear Analysis and Applications 11 (2), 175-186, 2020 | 1 | 2020 |
Simulation of Buried Natural Gas Pipelines and Determination of Optimum Safe Depth Z Joneidi, SA Mostafavi, MR Motahari Journal of Failure Analysis and Prevention, 1-10, 2020 | 1 | 2020 |
Effective Machine-Learning Models for Rock Mass Deformation Modulus Estimation Based on Rock Mass Classification Systems M Khajehzadeh, S Keawsawasvong, MR Motahari, P Jamsawang Engineered Science, 2024 | | 2024 |