Confinement effect of steel ties and/or carbon FRP in circular RC columns using neural network
College
Gokongwei College of Engineering
Department/Unit
Civil Engineering
Document Type
Conference Proceeding
Source Title
International Conference on Advances in Experimental Structural Engineering
Volume
2005-July
First Page
893
Last Page
900
Publication Date
1-1-2005
Abstract
Carbon fiber reinforced polymer (CFRP) is now commonly used in structural repair, strengthening and retrofitting of reinforced concrete (RC) members such as columns and beams. In retrofitting and strengthening RC columns, CFRP is wrapped around existing columns, which contain both longitudinal steel bars and lateral steel ties or hoops. Empirical models to predict the effect of confinement due to CFRP in the enhancement of the compressive strength of RC columns have been developed. However, an understanding of the interaction between the lateral steel ties and the CFRP on confinement and enhancement of compressive strength has still to be explored. Using the experimental data available in the literature, parameters such as ρs ρcc, ρCFRP, L, d, D, fyh, fyCFRP, and f’c were considered. The study used artificial neural network (ANN) modeling to predict the confined ultimate compressive strength, f’cc, produced by wrapping CFRP externally from circular sections reinforced with steel ties and longitudinal bars. Training different architectures of ANN models, and testing the derived models from existing models were done to arrive at an acceptable model. With the acceptable ANN model, the possible interaction between the two confining materials in the enhancement or increase of the compressive strength of circular columns was studied. © 2005 EUCENTRE. All rights reserved.
html
Recommended Citation
Ongpeng, J. C., & Oreta, A. C. (2005). Confinement effect of steel ties and/or carbon FRP in circular RC columns using neural network. International Conference on Advances in Experimental Structural Engineering, 2005-July, 893-900. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/3664
Disciplines
Civil Engineering
Keywords
Carbon fiber-reinforced plastics; Reinforced concrete; Neural networks (Computer science)
Upload File
wf_no