Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …
original properties. High temperatures substantially affect the concrete physical and …
Machine and deep learning methods for concrete strength prediction: A bibliometric and content analysis review of research trends and future directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
[HTML][HTML] Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete
The use of fly ash in cementitious composites has gained popularity. However, assessing
the depth of wear (DW) of concrete requires expensive and destructive laboratory tests …
the depth of wear (DW) of concrete requires expensive and destructive laboratory tests …
Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand
The use of waste foundry sand (WFS) in concrete production has gained attention as an eco-
friendly approach to waste reduction and enhancing cementitious materials. However …
friendly approach to waste reduction and enhancing cementitious materials. However …
[HTML][HTML] Application of metaheuristic optimization algorithms in predicting the compressive strength of 3D-printed fiber-reinforced concrete
In recent years, the construction industry has been striving to make production faster and
handle more complex architectural designs. Waste reduction, geometric freedom, lower …
handle more complex architectural designs. Waste reduction, geometric freedom, lower …
[HTML][HTML] Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric …
The construction industry is making efforts to reduce the environmental impact of cement
production in concrete by incorporating alternative and supplementary cementitious …
production in concrete by incorporating alternative and supplementary cementitious …
[HTML][HTML] Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models
The construction sector is a major contributor to global greenhouse gas emissions. Using
recycled and waste materials in concrete is a practical solution to address environmental …
recycled and waste materials in concrete is a practical solution to address environmental …
[HTML][HTML] Reverse design for mixture proportions of recycled brick aggregate concrete using machine learning-based meta-heuristic algorithm: A multi-objective driven …
Y Wang, S Zhang, Z Zhang, Y Yu, J Xu - Journal of CO2 Utilization, 2024 - Elsevier
Abstract Construction and Demolition Wastes (CDW) have a significant impact on global
waste streams. Brick waste stands out as a prominent type of CDW, and numerous studies …
waste streams. Brick waste stands out as a prominent type of CDW, and numerous studies …
[HTML][HTML] Assessment of physical and mechanical properties of concrete with carbon nanotubes pre-dispersed in cement
ED Reis, HF Resende, AL Christoforo, RM Costa… - Journal of Building …, 2024 - Elsevier
The expanding field of nanoengineering modification of cementitious materials increasingly
supports advances and innovations in science and engineering through nanotechnology. In …
supports advances and innovations in science and engineering through nanotechnology. In …
[HTML][HTML] Mathematical model for prediction of compressive strength of ternary blended cement concrete utilizing gene expression programming
In order to encourage the utilization of rice husk ash (RHA), ceramic waste powder (CWP)
and glass waste powder (GWP) in their ternary combinations in the production of concrete …
and glass waste powder (GWP) in their ternary combinations in the production of concrete …