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Optimisation of shear and lateral-torsional buckling of steel plate girders using meta-heuristic algorithms
(Mdpi, 2020)
The shear buckling of web plates and lateral-torsional buckling are among the major failure modes of plate girders. The importance of the lateral-torsional buckling capacity of plate girders was further evidenced when ...
Harmony search optimisation of dispersed laminated composite plates
(Mdpi, 2020)
One of the major goals in the process of designing structural components is to achieve the highest possible buckling load of the structural component while keeping the cost and weight at a minimum. This paper illustrates ...
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 ...
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 ...
A review on the mechanical properties of natural fiber-reinforced composites
(Springer Science and Business Media Deutschland GmbH, 2021)
Natural fibers have drawn attention from the researchers and engineers in recent years due to their mechanical properties comparable to the conventional synthetic fibers and due to their low cost, eco-friendliness, and ...
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 ...
Interpretable predictive modelling of basalt fiber reinforced concrete splitting tensile strength using ensemble machine learning methods and SHAP approach
(2023)
Basalt fibers are a type of reinforcing fiber that can be added to concrete to improve its
strength, durability, resistance to cracking, and overall performance. The addition of basalt fibers
with high tensile strength ...
Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
(Elsevier, 2023)
Colossal amounts of construction and demolition waste (C&D) and waste tires have become a
considerable global environmental concern. To alleviate this issue, it is proposed to use crumb
rubber (CR) derived from waste ...