Critical review on the application of artificial intelligence techniques in the production of geopolymer-concrete
The need to employ technology that replaces traditional engineering methods which
generate gases that worsen our environment has emerged in an era of dwindling ecosystem …
generate gases that worsen our environment has emerged in an era of dwindling ecosystem …
Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete
In the recent year, extensive researches have been done on fly ash-based geopolymer
concrete for its similar properties like Portland cement as well as its environmental …
concrete for its similar properties like Portland cement as well as its environmental …
Use of a neural network to predict strength and optimum compositions of natural alumina-silica-based geopolymers
D Bondar - Journal of materials in civil engineering, 2014 - ascelibrary.org
In order to predict compressive strength of geopolymers prepared from alumina-silica
natural products, based on the effect of Al 2 O 3/SiO 2, Na 2 O/Al 2 O 3, Na 2 O/H 2 O, and …
natural products, based on the effect of Al 2 O 3/SiO 2, Na 2 O/Al 2 O 3, Na 2 O/H 2 O, and …
Fly ash-based geopolymer concrete's compressive strength estimation by applying artificial intelligence methods
G Pazouki - Measurement, 2022 - Elsevier
Geopolymer concrete is a kind of eco-friendly concrete and its important characteristic is that
the cement is completely or partially removed from its mixture and other materials such as …
the cement is completely or partially removed from its mixture and other materials such as …
Influence of mixing order on the synthesis of geopolymer concrete
T Mukhametkaliyev, MH Ali, V Kutugin, O Savinova… - Polymers, 2022 - mdpi.com
Geopolymers are high-performance, cost-effective materials made from industrial waste that
ideally fit the needs of 3D printing technology used in construction. The novelty of the …
ideally fit the needs of 3D printing technology used in construction. The novelty of the …
Prediction of the compressive strength of fly ash geopolymer concrete by an optimised neural network model
This article presents a regression tool for predicting the compressive strength of fly ash (FA)
geopolymer concrete based on a process of optimising the Matlab code of a feedforward …
geopolymer concrete based on a process of optimising the Matlab code of a feedforward …
Selected AI optimization techniques and applications in geotechnical engineering
KC Onyelowe, FF Mojtahedi, AM Ebid… - Cogent …, 2023 - Taylor & Francis
In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …
earth system, the need to employ technologies to substitute those engineering practices …
Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
The growing concern about global climate change and its adverse impacts on societies is
putting severe pressure on the construction industry as one of the largest producers of …
putting severe pressure on the construction industry as one of the largest producers of …
[HTML][HTML] The use of machine learning techniques to investigate the properties of metakaolin-based geopolymer concrete
The construction industry significantly contributes to global greenhouse gas emissions,
highlighting the imperative for developing environmentally friendly construction materials …
highlighting the imperative for developing environmentally friendly construction materials …
Influence of aluminosilicate for the prediction of mechanical properties of geopolymer concrete–artificial neural network
S Nagajothi, S Elavenil - Silicon, 2020 - Springer
In this paper, details and results of experimental and predictive studies carried out to
determine the mechanical properties of Aluminosilicate materials like Ground Granulated …
determine the mechanical properties of Aluminosilicate materials like Ground Granulated …