[HTML][HTML] A comprehensive overview of geopolymer composites: A bibliometric analysis and literature review
H Yang, L Liu, W Yang, H Liu, W Ahmad… - Case Studies in …, 2022 - Elsevier
Cement is the main component of concrete, a widely used building material. Cement
production requires substantial energy, exhausts natural resources, and causes CO 2 …
production requires substantial energy, exhausts natural resources, and causes CO 2 …
Geopolymer: A systematic review of methodologies
The geopolymer concept has gained wide international attention during the last two
decades and is now seen as a potential alternative to ordinary Portland cement; however …
decades and is now seen as a potential alternative to ordinary Portland cement; however …
[HTML][HTML] Machine learning interpretable-prediction models to evaluate the slump and strength of fly ash-based geopolymer
This study used three artificial intelligence-based algorithms–adaptive neuro-fuzzy inference
system (ANFIS), artificial neural networks (ANNs), and gene expression programming (GEP) …
system (ANFIS), artificial neural networks (ANNs), and gene expression programming (GEP) …
Compressive strength prediction of one-part alkali activated material enabled by interpretable machine learning
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 …
and eco-friendly alternative to cement. It is owing to its low power consumption and …
Evaluation of geopolymer concrete at high temperatures: An experimental study using machine learning
M Rahmati, V Toufigh - Journal of Cleaner Production, 2022 - Elsevier
Studying the mechanical performance of concrete after being exposed to high temperatures
is an important step in the damage assessment of buildings and fire safety applications …
is an important step in the damage assessment of buildings and fire safety applications …
Predicting the mechanical properties of RCA-based concrete using supervised machine learning algorithms
Environment-friendly concrete is gaining popularity these days because it consumes less
energy and causes less damage to the environment. Rapid increases in the population and …
energy and causes less damage to the environment. Rapid increases in the population and …
[HTML][HTML] Artificial intelligence-based estimation of ultra-high-strength concrete's flexural property
Abstract Advancement in Artificial Intelligence (AI) techniques and their applications in the
construction industry, particularly for predicting mechanical properties of concrete, leads to …
construction industry, particularly for predicting mechanical properties of concrete, leads to …
Compressive strength evaluation of ultra-high-strength concrete by machine learning
In civil engineering, ultra-high-strength concrete (UHSC) is a useful and efficient building
material. To save money and time in the construction sector, soft computing approaches …
material. To save money and time in the construction sector, soft computing approaches …
[HTML][HTML] Performance characteristics of cementitious composites modified with silica fume: A systematic review
The intention of this study was to examine the use of the most prevalent industrial byproduct,
silica fume, as a supplementary cementitious material (SCM). Along with the typical review …
silica fume, as a supplementary cementitious material (SCM). Along with the typical review …
Evaluation of artificial intelligence methods to estimate the compressive strength of geopolymers
The depletion of natural resources and greenhouse gas emissions related to the
manufacture and use of ordinary Portland cement (OPC) pose serious concerns to the …
manufacture and use of ordinary Portland cement (OPC) pose serious concerns to the …