Smart Structures and Systems

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Evaluation of shear capacity of FRP reinforced concrete beams using artificial neural networks

  • Nehdi, M. (Department of Civil and Environmental Engineering, The University of Western Ontario) ;
  • El Chabib, H. (Department of Civil and Environmental Engineering, The University of Western Ontario) ;
  • Said, A. (Department of Civil and Environmental Engineering, The University of Western Ontario)
  • Received : 2005.11.14
  • Accepted : 2006.01.02
  • Published : 2006.01.25
⟨ Previous Next ⟩

Abstract

To calculate the shear capacity of concrete beams reinforced with fibre-reinforced polymer (FRP), current shear design provisions use slightly modified versions of existing semi-empirical shear design equations that were primarily derived from experimental data generated on concrete beams having steel reinforcement. However, FRP materials have different mechanical properties and mode of failure than steel, and extending existing shear design equations for steel reinforced beams to cover concrete beams reinforced with FRP is questionable. This paper investigates the feasibility of using artificial neural networks (ANNs) to estimate the nominal shear capacity, Vn of concrete beams reinforced with FRP bars. Experimental data on 150 FRP-reinforced beams were retrieved from published literature. The resulting database was used to evaluate the validity of several existing shear design methods for FRP reinforced beams, namely the ACI 440-03, CSA S806-02, JSCE-97, and ISIS Canada-01. The database was also used to develop an ANN model to predict the shear capacity of FRP reinforced concrete beams. Results show that current guidelines are either inadequate or very conservative in estimating the shear strength of FRP reinforced concrete beams. Based on ANN predictions, modified equations are proposed for the shear design of FRP reinforced concrete beams and proved to be more accurate than existing equations.

Keywords

References

  1. ACI Committee 318, (ACI 318R-02), 'Building code requirements for structural concrete', American Concrete Institute, Farmington Hills, Michigan, USA, 2002, 445
  2. Canadian Standards (CSA S806-02), 'Design and construction of building components with fibre-reinforced polymers', Canadian Standards Association, Rexdale, Ontario, Canada, 2002, 116
  3. CSA A23.3-94 (1994), 'Design of concrete structures', Canadian Standards Association, Rexdale, Ontario, Canada, 220
  4. Duranavic, N., Pilakoutas, K. and Waldron, P. (1997), 'Test on concrete beams reinforced with glass fibre reinforced plastic bars', Proceeding of the Third International Symposium, Non-Metalic (FRP) Reinforcement for Concrete Structures, Sapporo, Japan, 479-486
  5. El-Chabib, H. and Nehdi, M. (2005), 'Neural network modelling of properties of cement-based materials demystified', Advances in Cement Research, 17(3), 91-102 https://doi.org/10.1680/adcr.2005.17.3.91
  6. El-Sayed, A., El-Salakawy, E. and Benmokrane, B. (2005), 'Shear strength of one-way concrete slabs reinforced with fibre-reinforced polymer composite bars', J. Compos. Constr., ASCE, 9(2), 147-157 https://doi.org/10.1061/(ASCE)1090-0268(2005)9:2(147)
  7. Haykin, S. (1994), 'Neural networks: a comprehensive foundation', Macmillan, New York, 842
  8. ISIS Canada (2001), 'Reinforcing concrete structures with fibre-reinforced polymers', The Canadian Network of Centres of Excellence on Intelligent Sensing for Innovative Structures, Design Manual No.3, Zukewich, J., editor, University of Manitoba, Winnipeg, Manitoba, Canada, 133
  9. Japan Society of Civil Engineers (JSCE-97), 'Recommendations for design and construction of concrete structures using continuous fibre-reinforced materials', Concrete Engineering Series 23, Machida, A., editor, 1997, 325
  10. Joint ACI-ASCE Committee 445 (1998), 'Recent approaches to shear design of structural concrete', J. Struct. Eng., 124(12), 1375-1417 https://doi.org/10.1061/(ASCE)0733-9445(1998)124:12(1375)
  11. MacGregor, J. C. and Bartlett, F. M. (2000), Reiriforced concrete: Mechanics and Design, First Canadian Edition, Prentice-Hall, Scarborough, Ont., Canada, 1042
  12. Razaqpur, A. G., Isgor, B. O., Greenaway, S. and Selley, A. (2004), 'Concrete contribution to the shear resistance of fibre-reinforced polymer reinforced concrete members', J. Compos. Constr., ASCE, 8(5), 452-460 https://doi.org/10.1061/(ASCE)1090-0268(2004)8:5(452)
  13. Russo, G. and Puleri, G. (1997), 'Stirrups effectiveness in reinforced concrete beams under flexure and shear', ACI Struct. J., 94(3), 227-238
  14. Shehata, E. (1999), 'Fibre-reinforced polymer (FRP) for shear reinforcement in concrete structures', Ph.D. Thesis, Department of Civil and Geological Engineering, University of Manitoba, Winnipeg, Canada, 382
  15. Technical Committee Document (ACI 440.1R-03), 'Guide for the design and construction of concrete reinforced with FRP bars', 440.1R-03, American Concrete Institute, Farmington Hills, Michigan, 2003, 42
  16. Technical Committee Document (ACI 440R-96), 'State-of-the-art report on fiber- reinforced plastic (FRP) reinforcement for concrete structures', American Concrete Institute, Farmington Hills, Michigan, USA, 1996, 68
  17. Tottori, S. and Wakui, H. (1993), 'Shear capacity of RC and PC beams using FRP reinforcement', American Concrete Institute, ACI SP-138, Nanni, A., and Dolan, C.W., editors, Farmington Hills, Michigan, USA, 615-631
  18. Vijay, P., Kumar, S. and Gangarao, H. (1996), 'Shear and ductility behaviour of concrete beams reinforced with GFRP bars', Proceedings of the Second International Conference on Advanced Composite Materials for Bridges and Structures, (ACMBS-11), El-Badry, M., editor, Montreal, Quebec, 217-226
  19. Yost, J. R., Gross, S. P. and Dinehart, D. W. (2001), 'Shear strength of normal-strength concrete beams reinforced with deformed GFRP bars', J. Compos. Constr., ASCE, 5(4), 268-275 https://doi.org/10.1061/(ASCE)1090-0268(2001)5:4(268)
  20. Zhao, W., Maruyama, K. and Suzuki, H. (1995), 'Shear behaviour of concrete beams reinforced by FRP rods as longitudinal and shear reinforcement', Proceedings of the Second International RILEM Symposium (FRPRCS2), Non-Metallic (FRP) Reinforcement for Concrete Structures, Taerwe, L., editor, E & FN Spon, London, 352-359
  21. Zsutty, T. C. (1968), 'Beam shear strength predictions by analysis of existing data', ACI Struct. J., 65(11), 943-951
  22. Zsutty, T. C. (1971), 'Shear strength predictions for separate categories of simple beam tests', ACI Struct. J., 68(2), 138-143

Cited by

  1. Modeling Self-Healing of Concrete Using Hybrid Genetic Algorithm–Artificial Neural Network vol.10, pp.12, 2017, https://doi.org/10.3390/ma10020135
  2. Prediction of shear strength of FRP reinforced concrete beams using fuzzy inference system vol.41, pp.4, 2014, https://doi.org/10.1016/j.eswa.2013.07.045
  3. Knowledge-based prediction of shear strength of concrete beams without shear reinforcement vol.30, pp.6, 2008, https://doi.org/10.1016/j.engstruct.2007.10.008
  4. Prediction of shear strength of FRP-reinforced concrete beams without stirrups based on genetic programming vol.42, pp.6, 2011, https://doi.org/10.1016/j.advengsoft.2011.02.002
  5. Automated serviceability prediction of NSM strengthened structure using a fuzzy logic expert system vol.42, pp.1, 2015, https://doi.org/10.1016/j.eswa.2014.07.058
  6. Critical curtailment location of EBR FRP bonded RC beams using dimensional analysis and fuzzy logic expert system vol.166, 2017, https://doi.org/10.1016/j.compstruct.2017.01.025
  7. Performance of Hybrid Reinforced Concrete Beam Column Joint: A Critical Review vol.4, pp.4, 2016, https://doi.org/10.3390/fib4020013
  8. Machine learning-based prediction and performance study of transparent soil properties vol.28, pp.2, 2021, https://doi.org/10.12989/sss.2021.28.2.289