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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 ...
Buckling analysis and stacking sequence optimization of symmetric laminated composite plates
(Springer Science and Business Media Deutschland GmbH, 2021)
Symmetric laminated composite plates are frequently used in structural design due to their high strength to weight ratio. The stacking sequence of these laminates is known to have a major impact on the performance of these ...
Optimal dimensions of post-tensioned concrete cylindrical walls using harmony search and snsemble learning with SHAP
(2023)
The optimal design of prestressed concrete cylindrical walls is greatly beneficial for economic and environmental impact. However, the lack of the available big enough datasets for the
training of robust machine learning ...
Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls
(Elsevier, 2023)
Cantilever soldier pile retaining walls are used to ensure the stability of excavations. This paper deploys
ensemble machine learning algorithms towards achieving optimum design of these structures. A large dataset
was ...
Neural network predictive models for alkali-activated concrete carbon emission using metaheuristic optimization algorithms
(2023)
Due to environmental impacts and the need for energy efficiency, the cement industry aims
to make more durable and sustainable materials with less energy requirements without compromising
mechanical properties based on ...
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 ...
Optimization of axial load carrying capacity of CFST stub columns
(2022)
Concrete filled steel tubular (CFST) columns are widely used due to their enhanced mechanical properties. The interaction between the concrete core and the steel casing increases structural stability and magnifies the ...