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Ehsan Sadrossadat
Ehsan Sadrossadat
School of Civil, Environmental and Mining Engineering, The University of Western Australia
Verified email at research.uwa.edu.au
Title
Cited by
Cited by
Year
Prediction of the resilient modulus of flexible pavement subgrade soils using adaptive neuro-fuzzy inference systems
E Sadrossadat, A Heidaripanah, S Osouli
Construction and Building Materials 123, 235-247, 2016
1102016
Development of ECO-UHPC utilizing gold mine tailings as quartz sand alternative
T Ahmed, M Elchalakani, H Basarir, A Karrech, E Sadrossadat, B Yang
Cleaner Engineering and Technology 4, 100176, 2021
712021
New design equations for estimation of ultimate bearing capacity of shallow foundations resting on rock masses
AH Alavi, E Sadrossadat
Geoscience Frontiers 7 (1), 91-99, 2016
652016
Explicit formulation of bearing capacity of shallow foundations on rock masses using artificial neural networks: application and supplementary studies
SA Ziaee, E Sadrossadat, AH Alavi, D Mohammadzadeh Shadmehri
Environmental earth sciences 73, 3417-3431, 2015
592015
Numerical ANFIS-Based Formulation for Prediction of the Ultimate Axial Load Bearing Capacity of Piles Through CPT Data
B Ghorbani, E Sadrossadat, JB Bazaz, PR Oskooei
Geotechnical and Geological Engineering, 1-20, 2018
582018
Multi-objective mixture design and optimisation of steel fiber reinforced UHPC using machine learning algorithms and metaheuristics
E Sadrossadat, H Basarir, A Karrech, M Elchalakani
Engineering with Computers 38 (Suppl 3), 2569-2582, 2022
522022
Towards application of linear genetic programming for indirect estimation of the resilient modulus of pavements subgrade soils
E Sadrossadat, A Heidaripanah, B Ghorbani
Road Materials and Pavement Design 19 (1), 139-153, 2018
522018
Multi-objective mixture design of cemented paste backfill using particle swarm optimisation algorithm
E Sadrossadat, H Basarir, G Luo, A Karrech, R Durham, A Fourie, ...
Minerals Engineering 153, 106385, 2020
512020
Indirect estimation of the ultimate bearing capacity of shallow foundations resting on rock masses
S Tajeri, E Sadrossadat, JB Bazaz
International Journal of Rock Mechanics and Mining Sciences 80, 107-117, 2015
462015
Numerical formulation of confined compressive strength and strain of circular reinforced concrete columns using gene expression programming approach
E Sadrossadat, B Ghorbani, M Hamooni, M Sheikhkanloo, H Mohammad
Structural Concrete, 2017
432017
Use of adaptive neuro-fuzzy inference system and gene expression programming methods for estimation of the bearing capacity of rock foundations
E Sadrossadat, B Ghorbani, R Oskooei, M Kaboutari
Engineering Computations 35 (5), 2078-2106, 2018
312018
A new design equation for prediction of ultimate bearing capacity of shallow foundation on granular soils
E Sadrossadat, F Soltani, SM Mousavi, SM Marandi, AH Alavi
Journal of Civil Engineering and Management 19 (sup1), S78-S90, 2013
292013
Predictive modelling of the MR of subgrade cohesive soils incorporating CPT-related parameters through a soft-computing approach
E Sadrossadat, B Ghorbani, B Zohourian, M Kaboutari, ...
Road Materials and Pavement Design 21 (3), 701-719, 2020
212020
An Evolutionary-Based Prediction Model of the 28-Day Compressive Strength of High-Performance Concrete Containing Cementitious Materials
E Sadrossadat, H Basarir
Advances in Civil Engineering Materials 8 (3), 2019
202019
New empirical formulations for indirect estimation of peak-confined compressive strength and strain of circular RC columns using LGP method
MF Rostami, E Sadrossadat, B Ghorbani, SM Kazemi
Engineering with Computers, 1-16, 2018
182018
The optimization of cemented hydraulic backfill mixture design parameters for different strength conditions using artificial intelligence algorithms
E Sadrossadat, H Basarir, A Karrech, R Durham, A Fourie, H Bin
Proceedings of the 28th International Symposium on Mine Planning and …, 2020
122020
An engineered ML model for prediction of the compressive strength of Eco-SCC based on type and proportions of materials
E Sadrossadat, H Basarir, A Karrech, M Elchalakani
Cleaner Materials 4, 100072, 2022
92022
Innovative AI-based multi-objective mixture design optimisation of CPB considering properties of tailings and cement
E Sadrossadat, H Basarir, A Karrech, M Elchalakani
International Journal of Mining, Reclamation and Environment 37 (2), 110-126, 2023
52023
New design equations for estimation of ultimate bearing capacity of shallow foundations resting on rock masses. Geosci Front 7 (1): 91–99
AH Alavi, E Sadrossadat
52016
An Effective Scheme for Maize Disease Recognition based on Deep Networks
S Osouli, BB Haghighi, E Sadrossadat
arXiv preprint arXiv:2205.04234, 2022
32022
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