[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 …
Predictive modeling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners
The cementitious matrix of high-performance concrete (HPC) is highly complex, and
ambiguity exists with its mix design. Compressive strength can vary with the composition …
ambiguity exists with its mix design. Compressive strength can vary with the composition …
A critical review on modeling and prediction on properties of fresh and hardened geopolymer composites
P Zhang, Y Mao, W Yuan, J Zheng, S Hu… - Journal of Building …, 2024 - Elsevier
Geopolymer is an environmentally friendly material that is recognized as a potential
alternative binder to ordinary Portland cement. However, accurate prediction of the …
alternative binder to ordinary Portland cement. However, accurate prediction of the …
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 …
Plastic concrete for cut-off walls: A review
DA Shepherd, E Kotan, F Dehn - Construction and Building Materials, 2020 - Elsevier
The remediation of earthen dams is of growing interest worldwide. Plastic Concrete cut-off
walls hereby provide an effective method to control dam seepage. However, Plastic …
walls hereby provide an effective method to control dam seepage. However, Plastic …
Predicting compressive strength of manufactured-sand concrete using conventional and metaheuristic-tuned artificial neural network
Y Zhao, H Hu, C Song, Z Wang - Measurement, 2022 - Elsevier
Compressive strength (CS) is the maximum resistance of concrete against axial
compressive loading in standard conditions. Estimation of this parameter is essential for the …
compressive loading in standard conditions. Estimation of this parameter is essential for the …
[HTML][HTML] AI-Assisted optimisation of green concrete mixes incorporating recycled concrete aggregates
Maximising the content of supplementary cementitious materials as a partial replacement for
Portland cement and using recycled concrete aggregates as a full or partial replacement for …
Portland cement and using recycled concrete aggregates as a full or partial replacement for …
Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms
For the optimization of concrete mixture proportions, multiple objectives (eg, strength, cost,
slump) with many variables (eg, concrete components) under highly nonlinear constraints …
slump) with many variables (eg, concrete components) under highly nonlinear constraints …
Machine learning study of the mechanical properties of concretes containing waste foundry sand
A Behnood, EM Golafshani - Construction and Building Materials, 2020 - Elsevier
Concrete is the most commonly used man-made material in buildings, pavements, and
dams. The production of concrete requires large quantities of fine and coarse aggregates …
dams. The production of concrete requires large quantities of fine and coarse aggregates …
Evaluation of artificial intelligence methods to estimate the compressive strength of geopolymers
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 …
manufacture and use of ordinary Portland cement (OPC) pose serious concerns to the …