Computers and Concrete

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Prediction of curvature ductility factor for FRP strengthened RHSC beams using ANFIS and regression models

  • Komleh, H. Ebrahimpour (Civil Engineering Department, Faculty of Engineering, Shahid Bahonar University of Kerman) ;
  • Maghsoudi, A.A. (Civil Engineering Department, Faculty of Engineering, Shahid Bahonar University of Kerman)
  • Received : 2014.05.05
  • Accepted : 2015.08.10
  • Published : 2015.09.25
⟨ Previous Next ⟩

Abstract

Nowadays, fiber reinforced polymer (FRP) composites are widely used for rehabilitation, repair and strengthening of reinforced concrete (RC) structures. Also, recent advances in concrete technology have led to the production of high strength concrete, HSC. Such concrete due to its very high compression strength is less ductile; so in seismic areas, ductility is an important factor in design of HSC members (especially FRP strengthened members) under flexure. In this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) and multiple regression analysis are used to predict the curvature ductility factor of FRP strengthened reinforced HSC (RHSC) beams. Also, the effects of concrete strength, steel reinforcement ratio and externally reinforcement (FRP) stiffness on the complete moment-curvature behavior and the curvature ductility factor of the FRP strengthened RHSC beams are evaluated using the analytical approach. Results indicate that the predictions of ANFIS and multiple regression models for the curvature ductility factor are accurate to within -0.22% and 1.87% error for practical applications respectively. Finally, the effects of height to wide ratio (h/b) of the cross section on the proposed models are investigated.

Keywords

References

  1. ACI 363R. (2010), State-of-the-art report on high-strength concrete, American Concrete Institute, Detroit.
  2. ACI 440.2R. (2008), Guide for the design and construction of externally bonded FRP systems for strengthening concrete structures, American Concrete Institute, Farmington Hills, Michigan.
  3. Akbarzadeh, H. and Maghsoudi, A.A. (2010), "Experimental and analytical investigation of reinforced high strength concrete continuous beams strengthened with fiber reinforced polymer", Mater. Design., 31(3), 1130-1147. https://doi.org/10.1016/j.matdes.2009.09.041
  4. Amini, J. and Moeini, R. (2012), "Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network", Sci. Iran. Trans. A., 19(2), 242-248. https://doi.org/10.1016/j.scient.2012.02.009
  5. CAN3-A23.3 (1994), Design of Concrete Structure for Buildings (CAN3-A23.3-M94), Canadian Standards Association (CSA), Rexdale, Ontario.
  6. Cevik, A. (2011), "Modeling strength enhancement of FRP confined concrete cylinders using soft computing", Expert. Syst Appl., 38(5), 5662-5673. https://doi.org/10.1016/j.eswa.2010.10.069
  7. Chahrour, A. and Soudki, K. (2005), "Flexural response of reinforced concrete beams strengthened with end-anchored partially bonded carbon fiber-reinforced polymer strips", J. Compos. Construct., 9(2), 170-177 https://doi.org/10.1061/(ASCE)1090-0268(2005)9:2(170)
  8. Collins, M.P. and Porasz, A. (1989), "Shear design for high-strength concrete", Comite Euro-International du Beton, Bulletin d'Information, 193, 77-83.
  9. Ebrahimpour Komleh, H. and Maghsoudi, A.A. (2013), "Analytical Investigation on Ductility of CFRP/GFRP Strengthened RHSC Beams", Proceedings of the 4th International Conference on Concrete and Development, Tehran, Iran, April.
  10. Foret, G. and Limam, O. (2008), "Experimental and numerical analysis of RC two-way slabs strengthened with NSM CFRP rods", Constr. Build. Mater., 22(10), 2025-2030. https://doi.org/10.1016/j.conbuildmat.2007.07.027
  11. Gu, Z.Q. and Oyadiji, S.O. (2008), "Application of MR damper in structural control using ANFIS method", Comput. Struct., 86(3-5), 427-436. https://doi.org/10.1016/j.compstruc.2007.02.024
  12. Hashemi, S.H., Maghsoudi, A.A., and Rahgozar, R. (2009), "Bending response of HSRC beams strengthened with FRP sheets", Sci. Iran. Trans. A., 16(2), 138-146.
  13. Jang, J.S.R., Sun, C. T., and Mizutani, E. (1997), Neuro-fuzzy and soft computing. Computational approach to learning and machine intelligence, Prentice Hall.
  14. Lee, H.J. (2013), "Predictions of curvature ductility factor of doubly reinforced concrete beams with high strength materials", Comput. Concrete., 12 (6), 831-850. https://doi.org/10.12989/cac.2013.12.6.831
  15. Lignola, G.P., Prota, A., Manfredi, G. and Gosenza, E. (2007), "Experimental performance of RC hollow columns confined with CFRP", J. Compos. Constr., 11(1), 42-49. https://doi.org/10.1061/(ASCE)1090-0268(2007)11:1(42)
  16. Maghsoudi, A.A. and Akbarzadeh, H. (2006), "Flexural ductility of HSC members", Struct. Eng. Mech., 24(2), 195-212. https://doi.org/10.12989/sem.2006.24.2.195
  17. Malek, A.M., Saadatmanesh, H. and Ehsani, M.R. (1998), "Prediction of failure load of R/C beams strengthened with FRP plate due to stress concentration at the plate end", ACI. Struct. J., 95(2), 142-152.
  18. Mashrei, M.A., Seracino, R. and Rahman, M.S. (2013), "Application of artificial neural networks to predict the bond strength ofFRP-to-concrete joints", Constr. Build. Mater., 40, 812-821. https://doi.org/10.1016/j.conbuildmat.2012.11.109
  19. Mohammadhassani, M., Nezamabadi-Pour, H., Jumaat, M., Jameel, M., Hakim, S.J.S. and Zargar, M. (2013), "Application of the ANFIS model in deflection prediction of concrete deep beam", Struct. Eng. Mech., 45(3),319-332.
  20. Oehlers, D.J. (2001), "Development of design rules for retrofitting by adhesive bonding or bolting either FRP or steel plates to RC beams or slabs in bridges and building", Compos. Part. A. - Appl. S., 32(9), 1345-1355. https://doi.org/10.1016/S1359-835X(01)00089-6
  21. Oztekin, E., Pul, S. and Husem, M. (2003), "Determination of rectangular stress block parameters for high perfonuance concrete", Eng Struct, 25(3), 371-376. https://doi.org/10.1016/S0141-0296(02)00172-4
  22. Park R. and Paulay, T. (1975), Reinforced Concrete Structure, John Wiley and Sons, New York, USA.
  23. Rasheed, H.A., Charkas, H. and Melhem, H. (2004), "Simplified nonlinear analysis of strengthened concrete beams based on a rigorous approach", J. Struct. Eng., 130(7), 1087-1096. https://doi.org/10.1061/(ASCE)0733-9445(2004)130:7(1087)
  24. Rashid, M.A., Mansur, M.A. and Paramasivam, P. (2002), "Correlations between mechanical properties of high-strength concrete", J. Mater. Civil. Eng., 14(3),230-238. https://doi.org/10.1061/(ASCE)0899-1561(2002)14:3(230)
  25. Rashid, M.A. and Mansur, M.A. (2005), "Reinforced high-strength concrete beams in flexure", ACI. Struct. J., 102(3), 462-471.
  26. Teng, J.G., Chen, J.F., Smith, S.T. and Lam, L. (2002), FRP strengthened RC structures, Wiley, New York, USA.
  27. Toutanji, H., Zhao, L. and Zhang, Y. (2006), "Flexural behavior of reinforced concrete beams externally strengthened with CFRP sheets bonded with an inorganic matrix", Eng. Struct., 28(4), 557-566. https://doi.org/10.1016/j.engstruct.2005.09.011
  28. Xiong, G.J., Yang, J.Z. and Ji, Z.B. (2004), "Behavior of reinforced concrete beams strengthened with externally bonded hybrid carbon fiber-glass fiber sheets", J. Compos. Constr., 275-278.

Cited by

  1. Application of expert systems in prediction of flexural strength of cement mortars vol.18, pp.1, 2016, https://doi.org/10.12989/cac.2016.18.1.001
  2. Effect of confinement on flexural ductility design of concrete beams vol.20, pp.2, 2015, https://doi.org/10.12989/cac.2017.20.2.129
  3. A Proposed Soft Computing Model for Ultimate Strength Estimation of FRP-Confined Concrete Cylinders vol.10, pp.5, 2015, https://doi.org/10.3390/app10051769
  4. A new formulation for prediction of the shear capacity of FRP in strengthened reinforced concrete beams vol.24, pp.9, 2015, https://doi.org/10.1007/s00500-019-04325-4
  5. Identification of Fracture Mechanic Properties of Concrete and Analysis of Shear Capacity of Reinforced Concrete Beams without Transverse Reinforcement vol.13, pp.12, 2015, https://doi.org/10.3390/ma13122788
  6. Efficient Structural Design of a Prefab Concrete Connection by Using Artificial Neural Networks vol.12, pp.19, 2020, https://doi.org/10.3390/su12198226
  7. An innovative technique of anchoring lacing bars with CFS sections for shear strengthening of RC beams vol.7, pp.1, 2015, https://doi.org/10.1007/s41062-021-00722-7