Affiliation:
1. 1Department of Civil Engineering, Engineering and Architecture Faculty, Selcuk University, Konya, Turkey
Abstract
AbstractDetermination of fracture load and displacement values that might be formed in a reinforced concrete (RC) construction having different overhang types by artificial neural network (ANN) modeling was investigated in this study. Nonlinear static pushover analysis of the key parameters in change defined in Turkish earthquake code (TEC) [1] for columns and beams was carried out, and the capacity curves, failure loads, and displacements were obtained. In total, 64 RC buildings were analyzed according to the change intervals of the parameters chosen. In addition, regression analysis was performed with Statistical Packages for the Social Sciences (SPSS) statistical program (SPSS Inc., Chicago, IL, USA) by using the same parameters for the same model types. Consequently, separate equations were obtained for displacement and load values, and their R2 values were calculated. As a result of ANN modeling, 91.77% convergence for displacement values and 90.61% convergence for load values were obtained. The graphs between the calculated values and expected values are given.
Subject
Materials Chemistry,Ceramics and Composites
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献