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Warzer Sarwar
Warzer Sarwar
PhD Candidate, Civil Engineering Department, College of Engineering, University of Sulaimani
Verified email at univsul.edu.iq
Title
Cited by
Cited by
Year
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
832020
Characterizing and modeling the mechanical properties of the cement mortar modified with fly ash for various water-to-cement ratios and curing times
W Qadir, K Ghafor, A Mohammed
Advances in Civil Engineering 2019, 2019
792019
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
572020
Regression analysis and Vipulanandan model to quantify the effect of polymers on the plastic and hardened properties with the tensile bonding strength of the cement mortar
W Sarwar, K Ghafor, A Mohammed
Results in Materials 1, 100011, 2019
562019
Modeling the rheological properties with shear stress limit and compressive strength of ordinary Portland cement modified with polymers
W Sarwar, K Ghafor, A Mohammed
Journal of Building Pathology and Rehabilitation 4 (1), 25, 2019
552019
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
532020
Statistical variations and new correlation models to predict the mechanical behaviour of the cement mortar modified with silica fume
K Ghafor, S Qadir, W Mahmood, A Mohammed
Geomechanics and Geoengineering 17 (1), 118-130, 2022
472022
Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers
A Mohammed, L Burhan, K Ghafor, W Sarwar, W Mahmood
Neural Computing and Applications 33 (13), 7851-7873, 2021
472021
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
462020
Effect of Particle Size Distribution of Sand on Mechanical Properties of Cement Mortar Modified with Microsilica
AM Kawan Ghafor, Wael Mahmood, Warzer Qadir
ACI MATERIALS JOURNAL 117 (1), 1-14, 2020
432020
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
422021
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, 2021
402021
Evaluation the effect of lime on the plastic and hardened properties of cement mortar and quantified using Vipulanandan model
W Qadir, K Ghafor, A Mohammed
Open Engineering 9 (1), 468-480, 2019
382019
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
282020
Computing models to predict the compressive strength of engineered cementitious composites (ECC) at various mix proportions
K Ghafor, HU Ahmed, RH Faraj, AS Mohammed, R Kurda, WS Qadir, ...
Sustainability 14 (19), 12876, 2022
212022
Model technics to predict the impact of the particle size distribution (PSD) of the sand on the mechanical properties of the cement mortar modified with fly ash
W Mahmood, A Mohammed, K Ghafor, W Sarwar
Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2021
212021
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
202022
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
172021
Microstructure tests, flow, and mechanical behavior of polymerized cement mortar
AS Mohammed, W Mahmood, WS Qadir, K Ghafor, R Kurda
Ain Shams Engineering Journal 14 (4), 101922, 2023
102023
Various simulation techniques to predict the compressive strength of cement-based mortar modified with micro-sand at different water-to-cement ratios and curing ages
A Salih, S Rafiq, W Mahmood, K Ghafor, W Sarwar
Arabian Journal of Geosciences 14, 1-14, 2021
72021
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