| Compressive strength of sustainable geopolymer concrete composites: a state-of-the-art review HU Ahmed, AA Mohammed, S Rafiq, AS Mohammed, A Mosavi, NH Sor, ... Sustainability 13 (24), 13502, 2021 | 166 | 2021 |
| Soft computing techniques: systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times A Mohammed, S Rafiq, P Sihag, R Kurda, W Mahmood Journal of Building Engineering 33, 101851, 2021 | 102 | 2021 |
| Performance of Self-Compacting mortars modified with Nanoparticles: A systematic review and modeling RH Faraj, HU Ahmed, S Rafiq, NH Sor, DF Ibrahim, SMA Qaidi cleaner materials 4, 2022 | 85 | 2022 |
| ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash A Mohammed, S Rafiq, P Sihag, R Kurda, W Mahmood, K Ghafor, ... Journal of Materials Research and Technology 9 (6), 12416-12427, 2020 | 84 | 2020 |
| Characterization and modeling the flow behavior and compression strength of the cement paste modified with silica nano-size at different temperature conditions A Mohammed, S Rafiq, W Mahmood, R Noaman, K Ghafor, W Qadir, ... Construction and Building Materials 257, 119590, 2020 | 57 | 2020 |
| Microstructure characterizations, thermal properties, yield stress, plastic viscosity and compression strength of cement paste modified with nanosilica A Mohammed, S Rafiq, W Mahmood, R Noaman, ALD Hind, K Ghafor, ... Journal of Materials Research and Technology 9 (5), 10941-10956, 2020 | 54 | 2020 |
| Systemic multi-scale approaches to predict the flowability at various temperature and mechanical properties of cement paste modified with nano-calcium carbonate A Salih, S Rafiq, W Mahmood, ALD Hind, R Noaman, K Ghafor, W Qadir Construction and Building Materials 262, 120777, 2020 | 46 | 2020 |
| Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay A Mohammed, S Rafiq, W Mahmood, H Al-Darkazalir, R Noaman, ... Ain Shams Engineering Journal 12 (2), 1313-1328, 2021 | 42 | 2021 |
| Systematic multiscale models to predict the effect of high-volume fly ash on the maximum compression stress of cement-based mortar at various water/cement ratios and curing times A Salih, S Rafiq, P Sihag, K Ghafor, W Mahmood, W Sarwar Measurement 171, 108819, 0 | 41 | |
| ANN, M5P-tree model, and nonlinear regression approaches to predict the compression strength of cement-based mortar modified by quicklime at various water/cement ratios and … A Mohammed, S Rafiq, P Sihag, W Mahmood, K Ghafor, W Sarwar Arabian Journal of Geosciences 13, 1-16, 2020 | 29 | 2020 |
| Microstructure, chemical compositions, and soft computing models to evaluate the influence of silicon dioxide and calcium oxide on the compressive strength of cement mortar … AA Abdalla, AS Mohammed, S Rafiq, R Noaman, WS Qadir, K Ghafor, ... Construction and Building Materials 341, 127668, 2022 | 21 | 2022 |
| MECHANICAL PROPERTIES OF CEMENT MORTAR BY USING POLYETHYLENE TEREPHTHALATE FIBERS HU BOINY, YM ALSHKANE, SK RAFIQ | 18 | 2016 |
| Clay nanosize effects on the rheological behavior at various elevated temperatures and mechanical properties of the cement paste: experimental and modeling A Mohammed, S Rafiq, K Ghafor, W Emad, R Noaman, AY Qasim, ... Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2021 | 17 | 2021 |
| Correlation Between Destructive And None-Destructive Tests on the Mechanical Properties of Different Cement Mortar Mixtures Incorporated Polyethylene Terephthalate Fibers. Y Alshkane, S Rafiq, H Boiny Sulaimani Journal for Engineering Sciences 4 (5), 110-117, 2017 | 17 | 2017 |
| Innovative soft computing techniques including artificial neural network and nonlinear regression models to predict the compressive strength of environmentally friendly … SA Ahmad, SK Rafiq, HU Ahmed, AS Abdulrahman, AM Ramezanianpour Innovative Infrastructure Solutions 8 (4), 119, 2023 | 13 | 2023 |
| The assessment of concrete subjected to preloading using nondestructive testing methods H Niyan A Mohammed, Azad A., Rafiq, Serwan K. Case studies in construction materials 15, 2021 | 12 | 2021 |
| Mathematical modeling techniques to predict the compressive strength of pervious concrete modified with waste glass powders SA Ahmad, SK Rafiq, HDM Hilmi, HU Ahmed Asian Journal of Civil Engineering 25 (1), 773-785, 2024 | 11 | 2024 |
| Predicting concrete strength with waste glass using statistical evaluations, neural networks, and linear/nonlinear models SA Ahmad, HU Ahmed, DA Ahmed, BHS Hamah-ali, RH Faraj, SK Rafiq Asian Journal of Civil Engineering 24 (8), 3023-3035, 2023 | 10 | 2023 |
| A review study of eggshell powder as cement replacement in concrete L Mahmood, S Rafiq, A Mohammed Sulaimania J. Eng. Sci 9, 25-37, 2022 | 7 | 2022 |
| Optimum Geometry and Stress Control of Deformed Double Layer Dome for Gravity and Lateral Loads Najmadeen Saeed,Ahmed Manguri, Serwan Al-Zahawi IEEE, 84-89, 2021 | 7* | 2021 |
Ahmed Salih MohammedAssistant professor, College of Engineering , University of Sulaimani, Kurdistan, Region, IraqVerified email at univsul.edu.iq
