[HTML][HTML] Machine learning approaches to predict compressive strength of fly ash-based geopolymer concrete: A comprehensive review

M Rathnayaka, D Karunasinghe, C Gunasekara… - … and Building Materials, 2024 - Elsevier
Geopolymer concrete is a sustainable replacement to the Ordinary Portland Cement (OPC)
concrete as it mitigates some of the associated problems of OPC manufacturing such as …

[HTML][HTML] A comprehensive review on fly ash-based geopolymer

I Luhar, S Luhar - Journal of Composites Science, 2022 - mdpi.com
The discovery of an innovative category of inorganic geopolymer composites has generated
extensive scientific attention and the kaleidoscopic development of their applications. The …

[HTML][HTML] Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms

H Song, A Ahmad, F Farooq, KA Ostrowski… - … and Building Materials, 2021 - Elsevier
The cementitious composites have different properties in the changing environment. Thus,
knowing their mechanical properties is very important for safety reasons. The most important …

[HTML][HTML] Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques

A Ahmad, W Ahmad, F Aslam, P Joyklad - Case Studies in Construction …, 2022 - Elsevier
Concrete is a widely used construction material, and cement is its main constituent.
Production and utilization of cement severely affect the environment due to the emission of …

[HTML][HTML] Compressive strength of geopolymer concrete modified with nano-silica: Experimental and modeling investigations

HU Ahmed, AS Mohammed, RH Faraj… - Case Studies in …, 2022 - Elsevier
Since nanotechnology can enhance the performance of materials, significant effort has been
expended in recent years to incorporate nanoparticles (NPs) into geopolymer concrete …

Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms

MN Amin, B Iftikhar, K Khan, MF Javed, AM AbuArab… - Structures, 2023 - Elsevier
The use of rice husk ash (RHA) in concrete serves a positive role. The compressive strength
of RHA in concrete is predicted using supervised machine learning approaches such as …

Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison

B Iftikhar, SC Alih, M Vafaei, MA Elkotb… - Journal of Cleaner …, 2022 - Elsevier
One of the largest sources of greenhouse gas (GHG) emissions is the construction concrete
industry which has alone 50% of the world's emissions. One possible remedy to mitigate the …

[HTML][HTML] Compressive strength of concrete material using machine learning techniques

S Paudel, A Pudasaini, RK Shrestha… - Cleaner Engineering and …, 2023 - Elsevier
Significant efforts have been made to improve the strength of concrete by utilizing industrial
waste like Fly Ash as a partial replacement of cement in the concrete. However, predicting …