Fresh and mechanical performances of recycled plastic aggregate geopolymer concrete modified with Nano-silica: Experimental and computational investigation

HU Ahmed, AS Mohammed, AA Mohammed - Construction and Building …, 2023 - Elsevier
Concerning environmental concerns, it has become crucial to invent and develop alternative
construction materials that can replace ordinary Portland cement and use waste materials …

Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete

C Cakiroglu, M Shahjalal, K Islam… - Journal of Building …, 2023 - Elsevier
Colossal amounts of construction and demolition waste (C&D) and waste tires have become
a considerable global environmental concern. To alleviate this issue, it is proposed to use …

Modified particle packing approach for optimizing waste marble powder as a cement substitute in high-performance concrete

A Essam, SA Mostafa, M Khan, AM Tahwia - Construction and Building …, 2023 - Elsevier
This study explores the potential of utilizing waste marble powder (WMP) instead of cement
to develop environmentally friendly high-performance concrete (Eco-HPC). It assesses Eco …

A review on pollution treatment in cement industrial areas: from prevention techniques to python-based monitoring and controlling models

X Zhu, J Yang, Q Huang, T Liu - Processes, 2022 - mdpi.com
Anthropogenic climate change, global warming, environmental pollution, and fossil fuel
depletion have been identified as critical current scenarios and future challenges. Cement …

[HTML][HTML] Potential application of artificial intelligence to the alpha and gamma radiation from agricultural byproducts used as building and construction materials

S Oyebisi, T Alomayri - Scientific African, 2023 - Elsevier
Recycled agricultural wastes are being used in the building and construction sector as
cement additives as a result of the environmental impact of cement production. Agricultural …

Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0

XQ Wang, P Chen, CL Chow, D Lau - Matter, 2023 - cell.com
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …

Compressive strength prediction of one-part alkali activated material enabled by interpretable machine learning

SFA Shah, B Chen, M Zahid, MR Ahmad - Construction and Building …, 2022 - Elsevier
In recent years, alkali activated material (AAM) or geopolymer has emerged as a sustainable
and eco-friendly alternative to cement. It is owing to its low power consumption and …

Development of machine learning models for the prediction of the compressive strength of calcium-based geopolymers

W Huo, Z Zhu, H Sun, B Ma, L Yang - Journal of Cleaner Production, 2022 - Elsevier
Compressive strength is an important mechanical index that determines the mixture design
of geopolymer, and its accurate prediction is essential. The existing experiment-based and …

Splitting tensile strength of basalt fiber reinforced coral aggregate concrete: Optimized XGBoost models and experimental validation

Z Sun, Y Li, Y Yang, L Su, S Xie - Construction and Building Materials, 2024 - Elsevier
The split tensile strength of basalt fiber-reinforced coral aggregate concrete (BFRCAC-SS) is
a critical parameter in structural design because it directly affects the load-bearing capacity …

Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete

SS Pakzad, N Roshan, M Ghalehnovi - Scientific Reports, 2023 - nature.com
Adding hooked industrial steel fibers (ISF) to concrete boosts its tensile and flexural strength.
However, the understanding of ISF's influence on the compressive strength (CS) behavior of …