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Compressive strength of fly‐ash‐based geopolymer concrete by gene expression programming and random forest
Fly ash (FA) is a residual from thermal industries that has been effectively utilized in the
production of FA‐based geopolymer concrete (FGPC). To avoid time‐consuming and costly …
production of FA‐based geopolymer concrete (FGPC). To avoid time‐consuming and costly …
[HTML][HTML] A review of recent developments and advances in eco-friendly geopolymer concrete
The emission of CO2 and energy requirement in the production of Ordinary Portland Cement
(OPC) causes the continuous depletion of ozone layer and global warming. The introduction …
(OPC) causes the continuous depletion of ozone layer and global warming. The introduction …
[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 …
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 …
A comparative study of random forest and genetic engineering programming for the prediction of compressive strength of high strength concrete (HSC)
Supervised machine learning and its algorithm is an emerging trend for the prediction of
mechanical properties of concrete. This study uses an ensemble random forest (RF) and …
mechanical properties of concrete. This study uses an ensemble random forest (RF) and …
[HTML][HTML] Comparative study of supervised machine learning algorithms for predicting the compressive strength of concrete at high temperature
High temperature severely affects the nature of the ingredients used to produce concrete,
which in turn reduces the strength properties of the concrete. It is a difficult and time …
which in turn reduces the strength properties of the concrete. It is a difficult and time …
Geopolymer concrete compressive strength via artificial neural network, adaptive neuro fuzzy interface system, and gene expression programming with K-fold cross …
The ultrafine fly ash (FA) is a hazardous material collected from coal productions, which has
been proficiently employed for the manufacturing of geopolymer concrete (GPC). In this …
been proficiently employed for the manufacturing of geopolymer concrete (GPC). In this …
[HTML][HTML] Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms
Contemporary infrastructure requires structural elements with enhanced mechanical
strength and durability. Integrating nanomaterials into concrete is a promising solution to …
strength and durability. Integrating nanomaterials into concrete is a promising solution to …
[HTML][HTML] Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques
Silica fume (SF) is a frequently used mineral admixture in producing sustainable concrete in
the construction sector. Incorporating SF as a partial substitution of cement in concrete has …
the construction sector. Incorporating SF as a partial substitution of cement in concrete has …
Applications of gene expression programming for estimating compressive strength of high‐strength concrete
The experimental design of high‐strength concrete (HSC) requires deep analysis to get the
target strength. In this study, machine learning approaches and artificial intelligence python …
target strength. In this study, machine learning approaches and artificial intelligence python …