Fresh properties and characteristic testing methods for alkali-activated materials: A review

YK Kong, K Kurumisawa - Journal of Building Engineering, 2023 - Elsevier
Alkali-activated materials (AAMs) are increasingly popular as ecofriendly and sustainable
construction materials due to their ability to reduce carbon emissions and utilize industrial …

A critical review on modeling and prediction on properties of fresh and hardened geopolymer composites

P Zhang, Y Mao, W Yuan, J Zheng, S Hu… - Journal of Building …, 2024 - Elsevier
Geopolymer is an environmentally friendly material that is recognized as a potential
alternative binder to ordinary Portland cement. However, accurate prediction of the …

[HTML][HTML] A data-driven approach to predict the compressive strength of alkali-activated materials and correlation of influencing parameters using SHapley Additive …

X Zheng, Y Xie, X Yang, MN Amin, S Nazar… - Journal of Materials …, 2023 - Elsevier
This research used gene expression programming (GEP) and multi expression
programming (MEP) to determine the compressive strength (CS) of alkali-activated material …

[HTML][HTML] Forecasting the strength characteristics of concrete incorporating waste foundry sand using advance machine algorithms including deep learning

R Alyousef, M Khan, K Arif, M Fawad… - Case Studies in …, 2023 - Elsevier
The incorporation of waste foundry sand (WFS) into concrete has been recognized as a
sustainable approach to improve the strength properties of waste foundry sand concrete …

Sustainable strategy of eggshell waste usage in cementitious composites: An integral testing and computational study for compressive behavior in aggressive …

N Wang, Z Xia, MN Amin, W Ahmad, K Khan… - … and Building Materials, 2023 - Elsevier
The effectiveness of cementitious composites in an aggressive environment is the primary
issue since their performance deteriorates when exposed to harmful elements. Also, to …

[HTML][HTML] Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric …

A Kashem, R Karim, P Das, SD Datta… - Case Studies in …, 2024 - Elsevier
The construction industry is making efforts to reduce the environmental impact of cement
production in concrete by incorporating alternative and supplementary cementitious …

Machine learning-aided catalyst screening and multi-objective optimization for the indirect CO 2 hydrogenation to methanol and ethylene glycol process

Q Yang, Y Fan, J Zhou, L Zhao, Y Dong, J Yu… - Green …, 2023 - pubs.rsc.org
Indirect CO2 hydrogenation to methanol and ethylene glycol is a green, efficient, and
economical technique for converting CO2 into high-value chemicals to address the …

[HTML][HTML] Prediction of pull-out behavior of timber glued-in glass fiber reinforced polymer and steel rods under various environmental conditions based on ANN and …

MM Taleshi, N Tajik, A Mahmoudian… - Case Studies in …, 2024 - Elsevier
This study employs soft computing techniques, including artificial neural network (ANN)
models and gene expression programming (GEP), to enhance the prediction of ultimate load …

[HTML][HTML] Investigating the influence of PVA and PP fibers on the mechanical, durability, and microstructural properties of one-part alkali-activated mortar: An …

S Nazar, J Yang, MN Amin, M Husnain, F Ahmad… - Journal of Materials …, 2023 - Elsevier
Alkali-activated materials (AAMs) have gained significant attention in recent years due to
their potential for sustainable construction and outstanding strength and durability …

Investigating the effects of MWCNTs on sustainable alkali-activated mortar: physical, rheological, and mechanical analysis

S Nazar, J Yang, MS Khan, MF Quazi, H Li… - Materials Today …, 2023 - Elsevier
Alkali-activated material (AAM) is a potential sustainable substitute for normal Portland
cement-based concrete, but the composition of the material and the design of the mixture …