Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay
2020 · Ain Shams Engineering Journal · 59 citations
https://doi.org/10.1016/j.asej.2020.07.033
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Serwan Rafiq
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Serwan Rafiq is an academic researcher from University of Sulaimani. The author has contributed to research in topics: Innovative concrete reinforcement materials & Concrete and Cement Materials Research & Structural Behavior of Reinforced Concrete. The author has an h-index of 17, co-authored 39 publications.
Papers by this author
worksThe assessment of concrete subjected to preloading using non destructive testing methods
2021 · Case Studies in Construction Materials · 11 citations
https://doi.org/10.1016/j.cscm.2021.e00705
Machine learning for estimating the uniaxial compressive strength of modified materials by carbon nano tube mortar
2025 · Next research. · 7 citations
https://doi.org/10.1016/j.nexres.2025.100349
Retraction notice to “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” [Measurement 171 (2021) 108819]
2025 · Measurement · 0 citations
https://doi.org/10.1016/j.measurement.2025.117435
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