Modeling of Confined Circular Concrete Columns Wrapped by Fiber Reinforced Polymer Using Artificial Neural Network

Document Type : Regular Article

Authors

1 Department of Civil Engineering, Malard Branch, Islamic Azad University, Malard, Iran

2 Associate Professor, Faculty of Civil Engineering, Semnan University, Semnan, Iran

Abstract

This study is aimed to explore using an artificial neural network method to anticipate the confined compressive strength and its corresponding strain for the circular concrete columns wrapped with FRP sheets. 58 experimental data of circular concrete columns tested under concentric loading were collected from the literature. The experimental data is used to train and test the neural network. A comparative study was also carried out between the neural network model and the other existing models. It was found that the fundamental behavior of confined concrete columns can logically be captured by the neural network model. Besides, the neural network approach provided better results than the analytical and experimental models. The neural network-based model with R2 equal to 0.993 and 0.991 for training and testing the compressive strength, respectively, shows that the presented model is a practical method to predict the confinement behavior of concrete columns wrapped with FRP since it provides instantaneous result once it is appropriately trained and tested.

Highlights

Google Scholar

Keywords

Main Subjects

References

[1]     Mirmiran A. Concrete composite construction for durability and strength. Proc Symp Extending Life Span Struct, 1995, p. 1155–60.
[2]     Mirmiran A, Shahawy M. Behavior of concrete columns confined by fiber composites. J Struct Eng 1997;123:583–90.
[3]     Saafi M, Toutanji H, Li Z. Behavior of concrete columns confined with fiber reinforced polymer tubes. Mater J 1999;96:500–9.
[4]     Fardis MN, Khalili H. Concrete encased in fiberglass-reinforced plastic. J Proc, vol. 78, 1981, p. 440–6.
[5]     Miyauchi K, Nishibayashi S, Inoue S. Estimation of Strengthening Effects wi th Carbon Fiber Sheet for Concrete Columm. Proc Third Internatio nal Symp Non-Metallic FRP Concr Struct Japan, vol. 224, 1997.
[6]     Spoelstra MR, Monti G. FRP-confined concrete model. J Compos Constr 1999;3:143–50.
[7]     Teng JG, Lam L. Behavior and Modeling of Fiber Reinforced Polymer-Confined Concrete. J Struct Eng 2004;130:1713–23. doi:10.1061/(ASCE)0733-9445(2004)130:11(1713).
[8]     Teng JG, Chen J-F, Smith ST, Lam L. FRP: strengthened RC structures. Front Phys 2002:266.
[9]     Saadatmanesh H, Ehsani MR, Li MW. Strength and Ductility of Concrete Columns Externally Reinforced With Fiber Composite Straps. ACI Struct J 1994;91:434–47. doi:10.14359/4151.
[10]    Kono S, Inazumi M, Kaku T. Evaluation of confining effects of CFRP sheets on reinforced concrete members. Second Int Conf Compos InfrastructureNational Sci Found, vol. 1, 1998.
[11]    Toutanji H. Stress-strain characteristics of concrete columns externally confined with advanced fiber composite sheets. Mater J 1999;96:397–404.
[12]    Samaan M, Mirmiran A, Shahawy M. Model of Concrete Confined by Fiber Composites. J Struct Eng 1998;124:1025–31. doi:10.1061/(ASCE)0733-9445(1998)124:9(1025).
[13]    Xiao Y, Wu H. Compressive behavior of concrete confined by carbon fiber composite jackets. J Mater Civ Eng 2000;12:139–46.
[14]    Karbhari VM, Gao Y. Composite jacketed concrete under uniaxial compression—Verification of simple design equations. J Mater Civ Eng 1997;9:185–93.
[15]    Mirmiran A, Shahawy M. A new concrete-filled hollow FRP composite column. Compos Part B Eng 1996;27:263–8.
[16]    Thériault M, Neale KW. Simplified design equations for reinforced concrete columns confined with FRP Wraps. FRP Compos Civ Eng Int Conf FRP Compos Civ Eng HELD DECEMBER 2001, HONG KONG-VOLUME I, 2001.
[17]    ACI A. 440.2 R-02: Guide for the design and construction of externally bonded FRP systems for strengthening concrete structures. Am Concr Institute, Farmingt Hills, USA 2002.
[18]    Lam L, Teng JG. Strength models for circular concrete columns confined by FRP composites 2001.
[19]    Bisby LA, Dent AJS, Green MF. Comparison of confinement models for fiber-reinforced polymer-wrapped concrete. ACI Struct J 2005;102:62.
[20]    Kaveh A, Servati H. Design of double layer grids using backpropagation neural networks. Comput Struct 2001;79:1561–8.
[21]    Kaveh A, SERVATI H, FAZEL DD. Prediction of moment-rotation characteristic for saddle-like connections using FEM and BP neural networks 2001.
[22]    Kaveh A, Khalegi A. Prediction of strength for concrete specimens using artificial neural networks. Asian J Civ Eng 2000;2:1–13.
[23]    Iranmanesh A, Kaveh A. Structural optimization by gradient‐based neural networks. Int J Numer Methods Eng 1999;46:297–311.
[24]    Oreta AWC, Kawashima K. Neural network modeling of confined compressive strength and strain of circular concrete columns. J Struct Eng 2003;129:554–61.
[25]    Naderpour H, Kheyroddin A, Ghodrati Amiri G, Hoseini Vaez SR. Estimating the behavior of FRP-strengthened RC structural members using artificial neural networks. Procedia Eng 2011;14:3183–90. doi:10.1016/j.proeng.2011.07.402.
[26]    Naderpour H, Nagai K, Fakharian P, Haji M. Innovative models for prediction of compressive strength of FRP-confined circular reinforced concrete columns using soft computing methods. Compos Struct 2019;215:69–84. doi:10.1016/j.compstruct.2019.02.048.
[27]    Cui C, Sheikh SA. Analytical Model for Circular Normal- and High-Strength Concrete Columns Confined with FRP. J Compos Constr 2010;14:562–72. doi:10.1061/(ASCE)CC.1943-5614.0000115.
[28]    Fathi M, Jalal M, Rostami S. Compressive strength prediction by ANN formulation approach for CFRP confined concrete cylinders. Earthq Struct 2015;8:1171–90. doi:10.12989/eas.2015.8.5.1171.
[29]    Behfarnia K, Khademi F. A comprehensive study on the concrete compressive strength estimation using artificial neural network and adaptive neuro-fuzzy inference system. Iran Univ Sci Technol 2017;7:71–80.
[30]    Naderpour H, Alavi SA. A proposed model to estimate shear contribution of FRP in strengthened RC beams in terms of Adaptive Neuro-Fuzzy Inference System. Compos Struct 2017;170:215–27. doi:10.1016/j.compstruct.2017.03.028.
[31]    Hosseini G. Capacity Prediction of RC Beams Strengthened with FRP by Artificial Neural Networks Based on Genetic Algorithm. Soft Comput Civ Eng 2017;1:93–8. doi:10.22115/scce.2017.48392.
[32]    Sharifi Y, Lotfi F, Moghbeli A. Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns. J Rehabil Civ Eng 2019;7:134–53. doi:10.22075/JRCE.2018.14362.1260.
[33]    Khan QS, Sheikh MN, Hadi MN. Predicting strength and strain enhancement ratios of circular fiber-reinforced polymer tube confined concrete under axial compression using artificial neural networks. Adv Struct Eng 2019;22:1426–43. doi:10.1177/1369433218815229.
[34]    Naderpour H, Nagai K, Haji M, Mirrashid M. Adaptive neuro‐fuzzy inference modelling and sensitivity analysis for capacity estimation of fiber reinforced polymer‐strengthened circular reinforced concrete columns. Expert Syst 2019:e12410.
[35]    Lorenzis L De, Tepfers R. Comparative Study of Models on Confinement of Concrete Cylinders with Fiber-Reinforced Polymer Composites 2003.
[36]    Naderpour H, Kheyroddin A, Amiri GG. Prediction of FRP-confined compressive strength of concrete using artificial neural networks. Compos Struct 2010;92:2817–29. doi:10.1016/j.compstruct.2010.04.008.
[37]    Kartam N, Flood I, Garrett JH. Artificial neural networks for civil engineers: fundamentals and applications, American Society of Civil Engineers; 1997.
[38]    Fahlman SE. Faster-learning variations of back-propagation: An empirical study. Proc 1988 Connect Model Summer Sch, Morgan Kaufmann; 1988, p. 38–51.
[39]    Harmon TG, Slattery KT. Advanced composite confinement of concrete. Adv Compos Mater Bridg Struct, 1992, p. 299–306.
[40]    Watanabe K, Nakamura H, Honda Y, Toyoshima M, Iso M, Fujimaki T, et al. Confinement effect of FRP sheet on strength and ductility of concrete cylinders under uniaxial compression. Non-Metallic Reinf Concr Struct 1997;1:233–40.
[41]    Micelli F, Myers JJ, Murthy S. Effect of environmental cycles on concrete cylinders confined with FRP. Proc CCC2001 Int Conf Compos Constr Porto, Port, 2001.
[42]    Matthys S, Taerwe L, Audenaert K. Tests on axially loaded concrete columns confined by fiber reinforced polymer sheet wrapping. Spec Publ 1999;188:217–28.
[43]    Shahawy M, Mirmiran A, Beitelman T. Tests and modeling of carbon-wrapped concrete columns. Compos Part B Eng 2000;31:471–80.
[44]    Rousakis T, Tepfers R. Experimental investigation of concrete cylinders confined by carbon FRP sheets, under monotonic and cyclic axial compressive load. Res Rep 2001;44:1–87.
[45]    NeuralWare UN. A Tutorial for NeuralWorks Professional II/Plus and NeuralWorks Explorer, NeuralWare. Inc, Pittsburgh, Pennsylvania 1993.

Files

Cited by

History

  • Receive Date: 25 December 2019
  • Revise Date: 05 October 2020
  • Accept Date: 06 October 2020

Share

How to cite

Statistics