Volume 8, Issue 3 (10-2018)
2018, 8(3): 381-399 |
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Behnam A, Esfahani M R. PREDICTION OF BIAXIAL BENDING BEHAVIOR OF STEEL-CONCRETE COMPOSITE BEAM-COLUMNS BY ARTIFICIAL NEURAL NETWORK. International Journal of Optimization in Civil Engineering 2018; 8 (3) :381-399
URL: http://ijoce.iust.ac.ir/article-1-351-en.html
URL: http://ijoce.iust.ac.ir/article-1-351-en.html
Abstract: (18689 Views)
In this study, the complex behavior of steel encased reinforced concrete (SRC) composite beam–columns in biaxial bending is predicted by multilayer perceptron neural network. For this purpose, the previously proposed nonlinear analysis model, mixed beam-column formulation, is verified with biaxial bending test results. Then a large set of benchmark frames is provided and P-Mx-My triaxial interaction curve is obtained for them. The specifications of these frames and their analytical results are defined as inputs and targets of artificial neural network and a relatively accurate estimation model of the nonlinear behavior of these beam-columns is presented. In the end, the results of neural network are compared to some analytical examples of biaxial bending to determine the accuracy of the model.
Keywords: steel-concrete composite, composite beam-column, steel encased reinforced concrete, nonlinear analysis, artificial neural network, multilayer perceptron.
Type of Study: Research |
Subject:
Applications
Received: 2017/11/11 | Accepted: 2017/11/11 | Published: 2017/11/11
Received: 2017/11/11 | Accepted: 2017/11/11 | Published: 2017/11/11
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