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Ahmed Salih Mohammed
Ahmed Salih Mohammed
Associate professor, College of Engineering , University of Sulaimani, Kurdistan, Region, Iraq
Zweryfikowany adres z univsul.edu.iq
Tytuł
Cytowane przez
Cytowane przez
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Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete
Dilshad Kakasor Ismael Jaf , Payam Ismael Abdulrahman, Ahmed Salih Mohammed ...
Construction and Building Materials, 2023
2462023
Compressive Strength of Sustainable Geopolymer Concrete Composites: A State-of-the-Art Review
Hemn Unis Ahmed,Azad A. Mohammed, Serwan Rafiq,Ahmed S. Mohammed, ,Amir ...
Sustainability, 2021
2132021
Compressive strength of geopolymer concrete modified with nano-silica: Experimental and modeling investigations
Hemn Unis Ahmed, Ahmed S. Mohammed, Rabar H. Faraj, Shaker M. A. Qaidi, Azad ...
Case Studies in Construction Materials, https://doi.org/10.1016/j.cscm.2022.e010, 2022
204*2022
Geopolymer concrete as a cleaner construction material: An overview on materials and structural performances
Hemn Unis Ahmed, Lavan J. Mahmood, Muhammad A.Muhammad, Rabar H.Faraj ...
Cleaner Materials, 2022
1992022
Prediction of concrete materials compressive strength using surrogate models
Wael Emad, Ahmed Salih Mohammed, Rawaz Kurdad, Kawan Ghafor, Liborio ...
Structures, 2022
1952022
Hyperbolic rheological model with shear stress limit for acrylamide polymer modified bentonite drilling Muds
C Vipulanandan, Ahmed Salih Mohammed
Journal of Petroleum Science and Engineering 122, 38-47, 2014
1952014
Rubberized geopolymer composites: A comprehensive review
Shaker M.A. Qaidi, Ahmed S. Mohammed, Hemn Unis Ahmed, Rabar H. Faraj, Wael ...
Ceramics International, 2022
1922022
Innovative modeling techniques including MEP, ANN and FQ to forecast the compressive strength of geopolymer concrete modified with nanoparticles
Hemn Unis Ahmed, Ahmed S. Mohammed, Rabar H. Faraj, Aso A. Abdalla, Shaker M ...
Neural Computing and Applications, 2023
1782023
Ultra-high-performance geopolymer concrete: A review
Shaker M.A.Qaidi, DawoodSulaiman Atrushi, Ahmed S.Mohammed, HemnUnis Ahmed ...
Construction and Building Materials, 2022
1622022
Ultra-high-performance fiber-reinforced concrete. Part IV: Durability properties, cost assessment, applications, and challenges
MH Akeed, S Qaidi, HU Ahmed, RH Faraj, AS Mohammed, W Emad, ...
Case Studies in Construction Materials 17, e01271, 2022
1552022
Smart cement modified with iron oxide nanoparticles to enhance the piezoresistive behavior and compressive strength for oil well applications
C Vipulanandan, Ahmed Salih Mohammed
Smart Mater. Struct. 24, 2015
1392015
Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques
PG Asteris, PB Lourenço, PC Roussis, CE Adami, DJ Armaghani, ...
Construction and Building Materials 322, 126500, 2022
1332022
TGA, rheological properties with maximum shear stress and compressive strength of cement-based grout modified with polycarboxylate polymers
Ahmed Mohammed, Wael Mahmood, Kawan Ghafor
Construction and Building Materials, 2019
131*2019
The role of nanomaterials in geopolymer concrete composites: A state-of-the-art review
Hemn Unis Ahmed, Azad A. Mohammed, Ahmed S.Mohammed
Journal of Building Engineering, 2022
1232022
Ultra-high-performance fiber-reinforced concrete. Part I: Developments, principles, raw materials
MH Akeed, S Qaidi, RH Faraj, AS Mohammed, W Emad, BA Tayeh, ...
Case Studies in Construction Materials 17, e01290, 2022
1172022
Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete
HU Ahmed, RR Mostafa, A Mohammed, P Sihag, A Qadir
Neural computing and applications 35 (3), 2909-2926, 2023
1132023
Compressive strength of geopolymer concrete composites: a systematic comprehensive review, analysis and modeling
Hemn Unis Ahmed, Ahmed S. Mohammed, Shaker M. A. Qaidi, Rabar H. Faraj ...
European Journal of Environmental and Civil Engineering, 2022
109*2022
Introducing stacking machine learning approaches for the prediction of rock deformation
Mohammadreza Koopialipoor, Panagiotis G.Asteris, Ahmed Salih Mohammed ...
Transportation Geotechnics, 2022
1092022
Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times
Ahmed Mohammed, Serwan Rafiq, Parveen Sihag, Rawaz Kurda, Wael Mahmood
Journal of Building Engineering, 2020
108*2020
Effect of nanoclay on the electrical resistivity and rheological properties of smart and sensing bentonite drilling muds
C Vipulanandan, Ahmed Salih Mohammed
Journal of Petroleum Science and Engineering 130, 86-95, 2015
1072015
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