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Axial Strength Prediction of Square CFST Columns Based on The ANN Model
(First Serbian International Conference on Applied Artificial Intelligence, Kragujevac, Serbia, 2022)
Due to numerous advantages, concrete-filled steel tubular (CFST) columns have an increasingly important role in the civil engineering industry. Because of the expensive experimental testing of these members, it is beneficial ...
A Novel ANN Technique for Fast Prediction of Structural Behavior
(6th International Conference WE BUILD THE FUTURE 2022 International Construction Management Conference November 17-18, 2022, Belgrade, Serbia, 2022)
In recent decades, different concepts of machine learning (ML) have found applications in solving many engineering problems. Less time consumption in performing analyses, better optimization of the quality-price ratio and ...
Prediction of Ultimate Compressive Strength of CCFT Columns Using Machine Learning Algorithms
(8th International Conference Science and Practice, Kolasin, Montenegro, 2022)
The composite concrete-filled steel tube columns are structural members with numerous advantages over the traditional reinforced concrete or the pure steel members. The behavior of these columns is highly nonlinear. This ...