Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …
applications, and its mechanical properties are crucial for designing and evaluating its …
[HTML][HTML] Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder
Sustainable development might be promoted if waste eggshells are used in cement-based
materials (CBMs) by decreasing waste disposal problems, CO 2 emissions, and material …
materials (CBMs) by decreasing waste disposal problems, CO 2 emissions, and material …
[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 …
Prediction of the mechanical properties of basalt fiber reinforced high-performance concrete using machine learning techniques
In this research, we present an efficient implementation of machine learning (ML) models
that forecast the mechanical properties of basalt fiber-reinforced high-performance concrete …
that forecast the mechanical properties of basalt fiber-reinforced high-performance concrete …
Comparison of gasoline and hydrogen pathways in order to reduce the environmental hazards of a solar-hydrogen refueling station: Evaluation based on life cycle …
SU Zhanguo, W Zhang, A Abdulwahab… - Process Safety and …, 2023 - Elsevier
Today, due to increasing concerns about the use of fossil fuels, renewables have been
introduced as a popular, efficient and green alternative. Since the transportation sector is …
introduced as a popular, efficient and green alternative. Since the transportation sector is …
Sustainable strategy of eggshell waste usage in cementitious composites: An integral testing and computational study for compressive behavior in aggressive …
The effectiveness of cementitious composites in an aggressive environment is the primary
issue since their performance deteriorates when exposed to harmful elements. Also, to …
issue since their performance deteriorates when exposed to harmful elements. Also, to …
Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods
This study utilized both experimental testing and machine learning (ML) strategies to assess
the effectiveness of waste glass powder (WGP) on the compressive strength (CS) of cement …
the effectiveness of waste glass powder (WGP) on the compressive strength (CS) of cement …
Strength estimation and feature interaction of carbon nanotubes-modified concrete using artificial intelligence-based boosting ensembles
F Zhu, X Wu, Y Lu, J Huang - Buildings, 2024 - mdpi.com
The standard approach for testing ordinary concrete compressive strength (CS) is to cast
samples and test them after different curing times. However, testing adds cost and time to …
samples and test them after different curing times. However, testing adds cost and time to …
[HTML][HTML] Predicting parameters and sensitivity assessment of nano-silica-based fiber-reinforced concrete: a sustainable construction material
This study evaluates the compressive strength (C–S) of nano-silica-based fiber-reinforced
concrete (NS-FRC) by using advanced machine learning (ML) individual and ensembled …
concrete (NS-FRC) by using advanced machine learning (ML) individual and ensembled …