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Serwan Khwrshid Rafiq

Observed names: Assist. Prof. Dr. Serwan Rafiq, Dr. Serwan Rafiq, Rafiq Serwan, Serwan K. Rafiq, Serwan Kh. Rafiq, Serwan Khorsheed Rafiq, Serwan Khurshid Rafiq, Serwan Khwrshed Rafiq, Serwan Rafiq
ORCID: 0000-0003-4909-7571
Observed ORCID: 0000-0003-4909-7571
OpenAlex ID: A5113150682
Compressive Strength of Sustainable Geopolymer Concrete Composites: A State-of-the-Art Review
2021 · Hemn Unis Ahmed, Azad A. Mohammed, et al. · Sustainability · 256
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Performance of Self-Compacting mortars modified with Nanoparticles: A systematic review and modeling
2022 · Rabar H. Faraj, Hemn Unis Ahmed, et al. · Cleaner Materials · 106
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Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times
2020 · Ahmed Mohammed, Serwan Rafiq, et al. · Journal of Building Engineering · 104
ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash
2020 · Ahmed Mohammed, Serwan Rafiq, et al. · Journal of Materials Research and Technology · 96
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Microstructure characterizations, thermal properties, yield stress, plastic viscosity and compression strength of cement paste modified with nanosilica
2020 · Ahmed Mohammed, Serwan Rafiq, et al. · Journal of Materials Research and Technology · 82
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Systemic multi-scale approaches to predict the flowability at various temperature and mechanical properties of cement paste modified with nano-calcium carbonate
2020 · Ahmed Salih, Serwan Rafiq, et al. · Construction and Building Materials · 77
Characterization and modeling the flow behavior and compression strength of the cement paste modified with silica nano-size at different temperature conditions
2020 · Ahmed Mohammed, Serwan Rafiq, et al. · Construction and Building Materials · 72
Mathematical modeling techniques to predict the compressive strength of pervious concrete modified with waste glass powders
2023 · Soran Abdrahman Ahmad, Serwan Khwrshid Rafiq, et al. · Asian Journal of Civil Engineering · 64
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Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay
2020 · Ahmed Mohammed, Serwan Rafiq, et al. · Ain Shams Engineering Journal · 61
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RETRACTED: 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
2020 · Ahmed Salih, Serwan Rafiq, et al. · Measurement · 59
Machine learning approach for predicting compressive strength in foam concrete under varying mix designs and curing periods
2023 · Soran Abdrahman Ahmad, Hemn Unis Ahmed, et al. · Smart Construction and Sustainable Cities · 49
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A Comprehensive Exploration on the Effect of Waste Glass Powder as a Partial Replacement of Cement in Mortar: A Review, Analysis, and Modeling Investigation
2023 · Soran Abdrahman Ahmad, Hemn Unis Ahmed, et al. · Arabian Journal for Science and Engineering · 48
Innovative soft computing techniques including artificial neural network and nonlinear regression models to predict the compressive strength of environmentally friendly concrete incorporating waste glass powder
2023 · Soran Abdrahman Ahmad, Serwan Khwrshed Rafiq, et al. · Innovative Infrastructure Solutions · 45
Microstructure, chemical compositions, and soft computing models to evaluate the influence of silicon dioxide and calcium oxide on the compressive strength of cement mortar modified with cement kiln dust
2022 · Aso A. Abdalla, Ahmed Salih Mohammed, et al. · Construction and Building Materials · 42
The assessment of concrete subjected to preloading using non destructive testing methods
2021 · Azad A. Mohammed, Serwan K. Rafiq, et al. · Case Studies in Construction Materials · 38
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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 curing times
2020 · Ahmed Mohammed, Serwan Rafiq, et al. · Arabian Journal of Geosciences · 38
Smart Predictive Modeling for Compressive Strength in Sisal-Fiber-Reinforced-Concrete Composites: Harnessing SVM, GP, and ANN Techniques
2024 · Soran Abdrahman Ahmad, Hemn Unis Ahmed, et al. · Multiscale Science and Engineering · 30
Predicting concrete strength with waste glass using statistical evaluations, neural networks, and linear/nonlinear models
2023 · Soran Abdrahman Ahmad, Hemn Unis Ahmed, et al. · Asian Journal of Civil Engineering · 30
A comparative analysis of simulation approaches for predicting permeability and compressive strength in pervious concrete
2024 · Soran Abdrahman Ahmad, Hemn Unis Ahmed, et al. · Low-carbon Materials and Green Construction · 28
Sustainable Construction Analytics: Smart Modeling for Compressive Strength Prediction in Arabic Gum-Modified Mortar
2024 · Soran Abdrahman Ahmad, Hemn Unis Ahmed, et al. · Materials Circular Economy · 22
Impact of substituting coarse aggregate with waste glass granules on the fresh and mechanical properties of pervious concrete: an experimental study
2024 · Soran Abdrahman Ahmad, Brwa Hamah Saeed, et al. · Journal of Building Pathology and Rehabilitation · 22
Clay Nanosize Effects on the Rheological Behavior at Various Elevated Temperatures and Mechanical Properties of the Cement Paste: Experimental and Modeling
2021 · Ahmed Mohammed, Serwan Rafiq, et al. · Iranian Journal of Science and Technology Transactions of Civil Engineering · 22
Numerical modeling to predict the impact of granular glass replacement on mechanical properties of mortar
2023 · Soran Abdrahman Ahmad, Serwan Khwrshid Rafiq · Asian Journal of Civil Engineering · 21
Machine learning for estimating the uniaxial compressive strength of modified materials by carbon nano tube mortar
2025 · Soran Abdrahman Ahmad, Bilal Kamal Mohammed, et al. · Next research. · 20
Evaluating the effect of waste glass granules on the fresh, mechanical properties and shear bond strength of sustainable cement mortar
2023 · Soran Abdrahman Ahmad, Serwan Khwrshed Rafiq, et al. · Clean Technologies and Environmental Policy · 20
Works count: 67
Citation count: 1,704
H-index: 22
I10-index: 35
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