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 …
Fiber-reinforced recycled aggregate concrete with crumb rubber: A state-of-the-art review
The growing population demands rapid development of infrastructures. However, the
construction industry is searching for environmentally sustainable and eco-friendly building …
construction industry is searching for environmentally sustainable and eco-friendly building …
Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review
S Wang, P Xia, K Chen, F Gong, H Wang… - Journal of Building …, 2023 - Elsevier
Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …
application of concrete and its components are the most critical. Particularly, the production …
[HTML][HTML] Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms
Abstract Three-dimensional (3D) printing in the construction industry is growing rapidly due
to its inherent advantages, including intricate geometries, reduced waste, accelerated …
to its inherent advantages, including intricate geometries, reduced waste, accelerated …
[HTML][HTML] Hybrid machine learning approach to prediction of the compressive and flexural strengths of UHPC and parametric analysis with shapley additive …
Ultra-high-performance concrete (UHPC) is a sustainable construction material; it can be
applied as a substitute for cement concrete. Artificial intelligence methods have been used …
applied as a substitute for cement concrete. Artificial intelligence methods have been used …
[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 …
Shear strength prediction of FRP-strengthened concrete beams using interpretable machine learning
This study identified the factors affecting the contribution of externally bonded fiber
reinforced polymer (FRP) composite (V f) to the shear strength of reinforced concrete (RC) …
reinforced polymer (FRP) composite (V f) to the shear strength of reinforced concrete (RC) …
[HTML][HTML] Interpretable machine learning model for predicting freeze-thaw damage of dune sand and fiber reinforced concrete
The freeze-thaw (FT) properties of ordinary concrete have been extensively studied and
related models were well-established. However, these models cannot be used to accurately …
related models were well-established. However, these models cannot be used to accurately …
A novel hybrid XGBoost methodology in predicting penetration rate of rotary based on rock-mass and material properties
Predicting the drill penetration rate is a fundamental requirement in mining operations,
profoundly impacting both the cost-effectiveness of mining activities and strategic mine …
profoundly impacting both the cost-effectiveness of mining activities and strategic mine …
Predictive models in machine learning for strength and life cycle assessment of concrete structures
A Dinesh, BR Prasad - Automation in Construction, 2024 - Elsevier
The integration of emerging technologies into the construction industry is crucial for the
successful execution of technologically sophisticated initiatives. Multiple disciplines of …
successful execution of technologically sophisticated initiatives. Multiple disciplines of …