[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 …

Geopolymer: A systematic review of methodologies

J Matsimbe, M Dinka, D Olukanni, I Musonda - Materials, 2022 - mdpi.com
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 …

[HTML][HTML] Machine learning interpretable-prediction models to evaluate the slump and strength of fly ash-based geopolymer

S Nazar, J Yang, MN Amin, K Khan, M Ashraf… - Journal of Materials …, 2023 - Elsevier
This study used three artificial intelligence-based algorithms–adaptive neuro-fuzzy inference
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

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 …

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 …

Predicting the mechanical properties of RCA-based concrete using supervised machine learning algorithms

M Shang, H Li, A Ahmad, W Ahmad, KA Ostrowski… - Materials, 2022 - mdpi.com
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 …

[HTML][HTML] Artificial intelligence-based estimation of ultra-high-strength concrete's flexural property

Q Wang, A Hussain, MU Farooqi, AF Deifalla - Case Studies in …, 2022 - Elsevier
Abstract Advancement in Artificial Intelligence (AI) techniques and their applications in the
construction industry, particularly for predicting mechanical properties of concrete, leads to …

Compressive strength evaluation of ultra-high-strength concrete by machine learning

Z Shen, AF Deifalla, P Kamiński, A Dyczko - Materials, 2022 - mdpi.com
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 …

[HTML][HTML] Performance characteristics of cementitious composites modified with silica fume: A systematic review

Y Lou, K Khan, MN Amin, W Ahmad, AF Deifalla… - Case Studies in …, 2023 - Elsevier
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 …

Evaluation of artificial intelligence methods to estimate the compressive strength of geopolymers

Y Zou, C Zheng, AM Alzahrani, W Ahmad, A Ahmad… - Gels, 2022 - mdpi.com
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 …