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Math. Comput. Appl. 2011, 16(3), 649-658; doi:10.3390/mca16030649

Determination of Reducing Coefficient Values of Semi-Rigid Frames Using Artificial Neural Network

Department of Civil Engineering, Faculty of Engineering Celal Bayar University,45140, Manisa,Turkey
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Published: 1 December 2011
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Abstract

Lateral rigidity is a great issue in the view of structural analysis in civil engineering applications such as production of buildings, bridges, dams and roads. Furthermore, the connection properties have a remarkable role on the lateral rigidity and the tendency of structures under service loads. In fact, there aren’t any structures with perfectly rigid connections between beams and columns. Therefore, all connections performed by construction process can be defined as semi-rigid as, especially connections in steel structures. The effect of connection type on the lateral rigidity values of structures can be determined by reducing coefficients decreasing lateral rigidity with a certain extent. In the scope of this study, connection flexibility is modeled by linear elastic rotational springs for semi-rigid frames. The reducing coefficients are determined by using a computer program. Results are compared to the values predicted by artificial neural network (ANN) analyses. A strong relationship was established between calculated and predicted values.
Keywords: Semi-rigid; Reducing coefficient; Lateral rigidity; Artificial neural network Semi-rigid; Reducing coefficient; Lateral rigidity; Artificial neural network
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Şeker, S.; Uğur Öztürk, A.; Kozanoğlu, C. Determination of Reducing Coefficient Values of Semi-Rigid Frames Using Artificial Neural Network. Math. Comput. Appl. 2011, 16, 649-658.

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