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A review on performance of self-compacting concrete–use of mineral admixtures and steel fibres with artificial neural network application
Self-compacting concrete (SCC) has high value for deformability and segregation
resistance, moderate viscosity and smaller yield stress. When pouring the SCC, the mix …
resistance, moderate viscosity and smaller yield stress. When pouring the SCC, the mix …
[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 …
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 …
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] Prediction of geopolymer concrete compressive strength using novel machine learning algorithms
The innovation of geopolymer concrete (GPC) plays a vital role not only in reducing the
environmental threat but also as an exceptional material for sustainable development. The …
environmental threat but also as an exceptional material for sustainable development. The …
[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 …
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 …
Predictive modelling of sustainable lightweight foamed concrete using machine learning novel approach
Foamed concrete is a versatile material that can be used in different construction
applications and with proper mix designing, it can also be used as a structural member. The …
applications and with proper mix designing, it can also be used as a structural member. The …