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Explainable ensemble learning models for the rheological properties of self-compacting concrete
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
Self-compacting concrete (SCC) has been developed as a type of concrete capable of filling narrow gaps in highly reinforced areas of a mold without internal or external vibration. Bleeding and segregation in SCC can be ...
Optimal dimensioning of retaining walls using explainable ensemble learning algorithms
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
This paper develops predictive models for optimal dimensions that minimize the construction cost associated with reinforced concrete retaining walls. Random Forest, Extreme Gradient Boosting (XGBoost), Categorical Gradient ...
Optimization and predictive modeling of reinforced concrete circular columns
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
Metaheuristic optimization techniques are widely applied in the optimal design of structural members. This paper presents the application of the harmony search algorithm to the optimal dimensioning of reinforced concrete ...
Optimum design of cylindrical walls using ensemble learning methods
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
The optimum cost of the structure design is one of the major goals of structural engineers. The availability of large datasets with preoptimized structural configurations can facilitate the process of optimum design ...
Interpretable machine learning algorithms to predict the axial capacity of frp-reinforced concrete columns
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
Fiber-reinforced polymer (FRP) rebars are increasingly being used as an alternative to steel rebars in reinforced concrete (RC) members due to their excellent corrosion resistance capability and enhanced mechanical properties. ...