RT - Journal Article
T1 - PREDICTION OF BIAXIAL BENDING BEHAVIOR OF STEEL-CONCRETE COMPOSITE BEAM-COLUMNS BY ARTIFICIAL NEURAL NETWORK
JF - IUST
YR - 2018
JO - IUST
VO - 8
IS - 3
UR - http://ijoce.iust.ac.ir/article-1-351-en.html
SP - 381
EP - 399
K1 - steel-concrete composite
K1 - composite beam-column
K1 - steel encased reinforced concrete
K1 - nonlinear analysis
K1 - artificial neural network
K1 - multilayer perceptron.
AB - 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.
LA eng
UL http://ijoce.iust.ac.ir/article-1-351-en.html
M3
ER -