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… - Journal of Building …, 2021 - Elsevier
Advances in technology and environmental issues allow the building industry to use ever
more high-performance engineered materials. In this study, the hardness of concrete …

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 …

DKI Jaf, PI Abdulrahman, AS Mohammed… - … and Building Materials, 2023 - Elsevier
Fly ash is a by-product almost found in coal power plants; it is available worldwide.
According to the hazardous impacts of cement on the environment, fly ash is known to be a …

[HTML][HTML] Viscosity, yield stress and compressive strength of cement-based grout modified with polymers

W Mahmood, A Mohammed, K Ghafor - Results in materials, 2019 - Elsevier
In this study, two types of polycarboxylate (PCE) polymer (DBC-21 and VK-98) were used as
additives in the cement-based grout. The water-cement ratio (w/c) was fixed to 0.6 and 1.0​ …

[HTML][HTML] Compressive strength evaluation of cement-based materials in sulphate environment using optimized deep learning technology

Y Yu, C Zhang, X Xie, AM Yousefi, G Zhang, J Li… - Developments in the …, 2023 - Elsevier
Strength serves as a vital performance metric for assessing long-term durability of cement-
based materials. Nevertheless, there is a scarcity of models available for predicting residual …

TGA, rheological properties with maximum shear stress and compressive strength of cement-based grout modified with polycarboxylate polymers

A Mohammed, W Mahmood, K Ghafor - Construction and Building Materials, 2020 - Elsevier
Grouting is a comprehensive technology used in the construction projects due to the rapid
development of sub-surface urban infrastructures, the main reasons for grouting soils are …

[HTML][HTML] ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly …

A Mohammed, S Rafiq, P Sihag, R Kurda… - Journal of Materials …, 2020 - Elsevier
This study aims to establish systematic multiscale models to predict the compressive
strength of cement mortar containing a high volume of fly ash (FA) and to be used by the …

Predicting the compressive strength of green concrete at various temperature ranges using different soft computing techniques

AK Mohammed, AMT Hassan, AS Mohammed - Sustainability, 2023 - mdpi.com
To overcome the environmental impact of cement production in concrete, the construction
industry is adopting eco-friendly approaches, such as incorporating alternative and recycled …

Modeling flexural and compressive strengths behaviour of cement-grouted sands modified with water reducer polymer

W Mahmood, AS Mohammed, PG Asteris, R Kurda… - Applied Sciences, 2022 - mdpi.com
By using the American Society for Testing and Materials and British Standards standards,
the impact of various grading of sand (Five types of sand) on the compressive strength (CS) …

Preparation of magnesium oxysulfate cement with semidry carbonation high calcium content light-burned magnesium (Ca-LBM)

Z Hu, J Chang, X Chen, Y Guan, W Bi - Construction and Building Materials, 2023 - Elsevier
With the large amount of high-quality magnesite mining, low-grade magnesite is discarded,
which not only pollutes the environment but also wastes resources. Therefore, to utilize high …

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 …

A Mohammed, L Burhan, K Ghafor, W Sarwar… - Neural Computing and …, 2021 - Springer
In this study, the effect of two water-reducer polymers with smooth and rough surfaces on the
workability, and the compression strength of concrete from an early age (1 day) up to 28 …