Application of hybrid ANN models to the design of CFDST columns subjected to concentric compressive loading
Quang-Viet Vu,Nhu Son Doan,George Papazafeiropoulos,Wei Gao,Sawekchai Tangaramvong
Abstract
This paper develops hybrid metaheuristic-based optimization methods for the estimation of the compression capacity of Concrete Filled Double Skin Steel Tubes (CFDSTs) columns under compression using Artificial Neural Networks (ANNs). With the proposed models, the weights, biases, and hidden layer size of the ANN are simultaneously optimized by using Artificial Bee Colony (ABC) optimization and Teaching Learning-Based Optimization (TLBO) algorithms, called ABC-ANN and TLBO-ANN models, respectively. A dataset containing 167 experiments reported in the literature is adopted to construct the models. It is found that both the ABC-ANN and TLBO-ANN methods are efficient in training predictive ANN models for the class of problems considered. The efficiency of the proposed models is demonstrated through the good comparisons with design standards and empirical formulae. A user-friendly Graphical User Interface (GUI) software based on the proposed models is built to conveniently estimate the axial compression capacity of CFDST columns. By performing reliability analyses using Monte Carlo simulations, the strength reduction factors are suggested to ensure the GUI program applicable for practical design applications. Finally, an optimization procedure is developed based on the proposed ABC-ANN model to determine the optimal design of CFDST columns.
Quang-Viet Vu — 1) Faculty of Advanced Technology and Engineering, VNU Vietnam Japan University, Hanoi, Vietnam, 2) Center of Excellence in Applied Mechanics and Structures, Department of Civil Engineering, Chulalongkorn University, Bangkok 10330, Thailand
Nhu Son Doan — Faculty of Civil Engineering, Vietnam Maritime University, 484 Lach Tray, Hai Phong, Vietnam
George Papazafeiropoulos — School of Civil Engineering, National Technical University of Athens, Zografou, Athens 15780, Greece
Wei Gao — Centre for Infrastructure Engineering and Safety, School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
Sawekchai Tangaramvong — Center of Excellence in Applied Mechanics and Structures, Department of Civil Engineering, Chulalongkorn University, Bangkok 10330, Thailand
PDF Viewer
Preview is limited to the first 3 pages. Sign in to access the full PDF.
