[HTML][HTML] Smart materials and technologies for sustainable concrete construction
J Nilimaa - Developments in the Built Environment, 2023 - Elsevier
This paper presents a comprehensive review of current trends and opportunities for
sustainable concrete construction, emphasizing the importance of adopting eco-friendly …
sustainable concrete construction, emphasizing the importance of adopting eco-friendly …
Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
[HTML][HTML] A data-driven approach to predict the compressive strength of alkali-activated materials and correlation of influencing parameters using SHapley Additive …
This research used gene expression programming (GEP) and multi expression
programming (MEP) to determine the compressive strength (CS) of alkali-activated material …
programming (MEP) to determine the compressive strength (CS) of alkali-activated material …
[HTML][HTML] A machine learning-based genetic programming approach for the sustainable production of plastic sand paver blocks
Plastic sand paver blocks (PSPB) provide a sustainable alternative by reprocessing plastic
waste and decreasing reliance on environmentally hazardous materials such as concrete …
waste and decreasing reliance on environmentally hazardous materials such as concrete …
[HTML][HTML] Sustainable use of waste eggshells in cementitious materials: An experimental and modeling-based study
This study evaluated the compressive strength (CS) of cement-based materials (CBMs)
incorporating eggshell powder (ESP) as a partial substitute for cement and fine aggregate …
incorporating eggshell powder (ESP) as a partial substitute for cement and fine aggregate …
[HTML][HTML] Experimental investigation and AI prediction modelling of ceramic waste powder concrete–An approach towards sustainable construction
The ceramic waste powder (CWP) is generated in the ceramic industry during the cutting
and polishing stages. It is harmful to the environment and needs a massive area for …
and polishing stages. It is harmful to the environment and needs a massive area for …
A comprehensive GEP and MEP analysis of a cement-based concrete containing metakaolin
Due to the detrimental environmental consequence of cement formation, studies has
concentrated on decreasing the environmental influence and expense of cement containing …
concentrated on decreasing the environmental influence and expense of cement containing …
[HTML][HTML] Predictive performance assessment of recycled coarse aggregate concrete using artificial intelligence: A review
Recycled coarse aggregate concrete enables the creation of environmentally friendly and
cost-effective mixes. It helps address the disposal problem of demolition concrete waste …
cost-effective mixes. It helps address the disposal problem of demolition concrete waste …
Engineered geopolymer composites: a comprehensive state-of-the-art review on materials' perspective
Engineered geopolymer composite (EGC) is considered an excellent innovation in imparting
the high ductility to the concrete composites with 100% eco-friendly and sustainable …
the high ductility to the concrete composites with 100% eco-friendly and sustainable …
[HTML][HTML] Predicting parameters and sensitivity assessment of nano-silica-based fiber-reinforced concrete: a sustainable construction material
This study evaluates the compressive strength (C–S) of nano-silica-based fiber-reinforced
concrete (NS-FRC) by using advanced machine learning (ML) individual and ensembled …
concrete (NS-FRC) by using advanced machine learning (ML) individual and ensembled …