A new approach to determine the moment-curvature relationship of circular reinforced concrete columns

Naci Caglar , Aydin Demir , Hakan Ozturk , Abdulhalim Akkaya

Abstract

To be able to understand the behavior of reinforced concrete (RC) members, cross sectional behavior should be known well. Cross sectional behavior can be best evaluated by moment-curvature relationship. On a reinforced concrete cross section moment-curvature relationship can be best determined by both experimentally or numerically with some complicated iteration methods. Making these experiments or iterations manually is very difficult and not practical. The aim of this study is to research the efficiency of Neural Networks (NN) as a more secure and robust method to obtain the moment-curvature relationship of circular RC columns. It is demonstrated that the NN based model is highly successful to determine the moment-curvature relationship of circular reinforced concrete columns.

Key Words

moment-curvature; circular RC column; neural networks; column behavior; confinement

Address

Naci Caglar, Aydin Demir and Hakan Ozturk — Department of Civil Engineering, Engineering Faculty, Sakarya University, 54187 Sakarya, Turkey
Abdulhalim Akkaya — Department of Civil Engineering, Technology Faculty, Sakarya University, 54187 Sakarya, Turkey

PDF Viewer

Preview is limited to the first 3 pages. Sign in to access the full PDF.

← Back to Volume 15, No. 3