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[HTML][HTML] Machine learning approaches to predict compressive strength of fly ash-based geopolymer concrete: A comprehensive review
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 …
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 …
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
The cementitious composites have different properties in the changing environment. Thus,
knowing their mechanical properties is very important for safety reasons. The most important …
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
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 …
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
Since nanotechnology can enhance the performance of materials, significant effort has been
expended in recent years to incorporate nanoparticles (NPs) into geopolymer concrete …
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
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 …
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
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 …
industry which has alone 50% of the world's emissions. One possible remedy to mitigate the …
Prediction of compressive strength of fly ash based concrete using individual and ensemble algorithm
Machine learning techniques are widely used algorithms for predicting the mechanical
properties of concrete. This study is based on the comparison of algorithms between …
properties of concrete. This study is based on the comparison of algorithms between …
Predictive modeling of mechanical properties of silica fume-based green concrete using artificial intelligence approaches: MLPNN, ANFIS, and GEP
Silica fume (SF) is a mineral additive that is widely used in the construction industry when
producing sustainable concrete. The integration of SF in concrete as a partial replacement …
producing sustainable concrete. The integration of SF in concrete as a partial replacement …
[HTML][HTML] Compressive strength of concrete material using machine learning techniques
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 …
waste like Fly Ash as a partial replacement of cement in the concrete. However, predicting …