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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 ...
Performance of optimum tuned PID controller with different feedback strategies on active-controlled structures
(MDPI-Multidisciplinary Digital Publishing Institute, 2021)
In this study, multi-story structures with different combinations (on each floor and only the first floor) of active tendon control systems driven by a proportional-integral-derivative (PID) controller were actively ...
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 ...
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 ...
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 ...
Metaheuristic optimization of laminated composite plates with Cut-Outs
(MDPI-Multidisciplinary Digital Publishing Institute, 2021)
The stacking sequence optimization of laminated composite plates while maximizing the structural performance or minimizing the weight is a subject investigated extensively in the literature. Meanwhile, research on the ...