Electrical layouts have a significant impact on the investment cost and electrical losses of wind farms, and therefore, layouts should be optimized for reducing their share in the project budgets. In this study, a two-stage ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

In this paper, the metaheuristic algorithms such as Flower pollination and Harmony search algorithms are pro-posed to optimize the sizes of the steel components at the elevated temperature dealing with EN 1993 1-2. The ...

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 ...