Fly ash and slag

Z Giergiczny - Cement and concrete research, 2019 - Elsevier
Low-calcium (FA) and high-calcium (HCFA) fly ash and granulated blast furnace slag
(GBFS) are the most widely known, standardized and used SCMs in the composition of …

[HTML][HTML] Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction

L Farahzadi, M Kioumarsi - Journal of Cleaner Production, 2023 - Elsevier
The construction sector is one of the main contributors to carbon dioxide (CO 2) emission
and causes of global warming. CO 2 mitigation solutions are vital. New technologies can …

[HTML][HTML] Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms

H Song, A Ahmad, F Farooq, KA Ostrowski… - … and Building Materials, 2021 - Elsevier
The cementitious composites have different properties in the changing environment. Thus,
knowing their mechanical properties is very important for safety reasons. The most important …

Machine learning and interactive GUI for concrete compressive strength prediction

MK Elshaarawy, MM Alsaadawi, AK Hamed - Scientific Reports, 2024 - nature.com
Concrete compressive strength (CS) is a crucial performance parameter in concrete
structure design. Reliable strength prediction reduces costs and time in design and prevents …

[HTML][HTML] Compressive strength of concrete material using machine learning techniques

S Paudel, A Pudasaini, RK Shrestha… - Cleaner Engineering and …, 2023 - Elsevier
Significant efforts have been made to improve the strength of concrete by utilizing industrial
waste like Fly Ash as a partial replacement of cement in the concrete. However, predicting …

[HTML][HTML] Synergistic utilization of blast furnace slag with other industrial solid wastes in cement and concrete industry: Synergistic mechanisms, applications, and …

Q Zeng, X Liu, Z Zhang, C Wei, CC Xu - Green Energy and Resources, 2023 - Elsevier
Granulated blast furnace slag (GBFS) is widely used in cement and concrete industries due
to its excellent hydration properties. However, there is a huge capacity gap between the …

[HTML][HTML] Application of advanced machine learning approaches to predict the compressive strength of concrete containing supplementary cementitious materials

W Ahmad, A Ahmad, KA Ostrowski, F Aslam, P Joyklad… - Materials, 2021 - mdpi.com
The casting and testing specimens for determining the mechanical properties of concrete is
a time-consuming activity. This study employed supervised machine learning techniques …

Phosphate removal from water using bottom ash: Adsorption performance, coexisting anions and modelling studies

KS Hashim, HM Ewadh, AA Muhsin… - Water Science and …, 2021 - iwaponline.com
Phosphate in freshwater possesses significant effects on both quality of water and human
health. Hence, many treatment methods have been used to remove phosphate from …

Future of clay-based construction materials–A review

AA Shubbar, M Sadique, P Kot, W Atherton - Construction and Building …, 2019 - Elsevier
Sustainability in the manufacture of different construction materials raises many important
issues. Nowadays, there is increasing demand for such materials to be produced using …

Optimization of synergy between cement, slag, and phosphogypsum for marine soft clay solidification

S Li, D Wang, C Tang, Y Chen - Construction and Building Materials, 2023 - Elsevier
Ground granulated blast furnace slag (GGBS) and waste gypsum are cost-effective and
environment-friendly substitute materials for Portland cement. This work aims to investigate …