Artificial neural network model for steel-concrete bond prediction

Engineering Structures

Volumn 31, Issue 8, 2009, Pages 1724-1733

  Dahou, Zohra ^a   Mehdi Sbartai Z ^b   Castel, Arnaud ^c   Ghomari, Fouad ^d  

^a UNIVERSITY OF BECHAR   (Algeria)

^b UNIVERSITÉ DE BORDEAUX   (France)

^c UNIVERSITÉ PAUL SABATIER   (France)

^d UNIVERSITY OF TLEMCEN   (Algeria)

Author keywords

Artificial Neural Networks; Concrete mix constituents; Prediction; Ribbed bars; Ultimate pull out load stress

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; CONCRETE MIX CONSTITUENTS; PREDICTION; RIBBED BARS; ULTIMATE PULL-OUT LOAD/STRESS;

BARS (METAL); CEMENTS; COMPRESSIVE STRENGTH; CONCRETE MIXERS; CONCRETES; ELECTRIC GENERATORS; GRAVEL; NEURAL NETWORKS; STEEL;

BACKPROPAGATION;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPRESSIVE STRENGTH; CONCRETE STRUCTURE; ERROR ANALYSIS; EXPERIMENTAL STUDY; LOADING TEST; NUMERICAL MODEL; PREDICTION; PULLOUT TEST; STEEL STRUCTURE;

EID: 67349093013     PISSN: 01410296     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engstruct.2009.02.010     Document Type: Article

References (27)

1. RILEM. Essai portant sur l'adhérence des armatures du béton: essai par traction. Mater Struct 3 3 (1970) 175-178
2. Eligehausen R., and Bigaj van Vliet A. Bond Behaviour models. Fib Bulletin No. 1. Introduction- design process-materials Vol. 1 (1999) 161-187
3. Hughes B.P., and Videla C. Design criteria for early-age bond strength in reinforced concrete. Mater Struct 25 152 (1992) 445-463
4. Cairns J., and Abdullah R. An evaluation of bond pullout tests and their relevance to structural performance. Struct Eng 73 11 (1995) 179-185
5. Cairns J., and Keith J. Influence of rib geometry on strength of lapped joints: An experimental and analytical study. Mag Concr Res 47 172 (1995) 253-262
6. Gambarova P.G., and Rosati G.P. Bond and splitting in bar pull-out: Behavioral laws and concrete cover. Mag Concr Res 49 179 (1997) 99-110
7. Luccioni B.M., Lopez D.E., and Danesi R.F. Bond-slip in reinforced concrete elements. J Struct Engrg 131 11 (2005) 1690-1698
8. Ghaboussi J., Garett J.H., and Wu X. Knowledge-based modelling of materials behaviour with neural networks. J Engrg Mech 117 1 (1991) 132-153
9. Dreyfus G., et al. Réseaux de neurones-Méthodologie et applications-. Eyrolles (2002)
10. Jodouin J.F. Les réseaux de neurones- principe et définitions- (1994), Hermes, Paris
11. Bishop C.M. Neural networks for pattern recognition (1995), Oxford University Press
12. Rafiq M.Y., Bugmann G., and Esterbrook D.J. Neural network design for engineering applications. Comput Struct 79 17 (2001) 1541-1552
13. Yeh I.C. Modeling of strength of high-performance concrete using artificial neural networks. Cement Concr Res 28 12 (1998) 1797-1808
14. Ni H.G., and Wang J.Z. Prediction of compressive strength of concrete by neural networks. Cement Concr Res 30 8 (2000) 1245-1250
15. Dias W.P.S., and Pooliyadda S.P. Neural networks for predicting properties of concretes with admixtures. Construct Building Mater 15 7 (2001) 371-379
16. Nehdi M., El Chabib H., and El Naggae H. Predicting performance of self-compacting concrete mixtures using artificial neural networks. ACI Mater J 98 5 (2001) 394-401
17. Rumelhart D.E., Hinton G.E., and Williams R.J. Learning internal representations by error propagation. Parallel distributed processing, vol. 1 (1987), MIT Press, Cambridge (MA) [Chapitre 8]
18. Weigend A, Rummelhart D, Huberman B. Generalization by weight elimination with application to forecasting. In: Conference on advances in neural information processing systems, NIPS. vol. 3. 1991. p. 875-82
19. Morgan N, Bourlard H. Generalization and parameter estimation in feedforward nets: Some experiments. In: Conference on advances in neural information processing systems, NIPS. vol. 2. 1990. p. 630-37
20. Guinea G.V., El-Sayed K., Rocco C.G., Elices M., and Planas J. The effect of the bond between the matrix and the aggregates on the cracking mechanism and fracture parameters of concrete. Cement Concr Res 32 12 (2002) 1961-1970
21. Appa Rao G., and Raghu Prasad B.K. Influence of the roughness of aggregate surface on the interface bond strength. Cement Concr Res 32 2 (2002) 253-257
22. Dreux G., and Festa J. Nouveau guide du béton et de ses constituants. Eyrolles. 8e ed. (1998)
23. Castel A., Vidal T., Viriyametanont K., and Raoul F. Effect of reinforcing bar orientation and location on bond with self-consolidating concrete. ACI Struct J 103 4 (2006) 559-567
24. Daoud A., Lorrain M., and Elgonnouni M. Résistance à l'arrachement d'armatures ancrées dans du béton autoplaçant. Mater Struct 35 7 (2002) 395-401
25. Koning G., Holschemacher K., Dehn F., and Weisse B. Self-compacting concrete-time development of material properties and bond behaviour. In: Ozawa K., and Ouchi M. (Eds). Proceedings of the second RILEM international symposium on self-compacting concrete. Kochi University of Technology (2001), COMS Engineering Corporation, Japan 507-516
26. Zhu W., Sonebi M., and Bartos P.J.M. Bond and interfacial properties of reinforcement in self-compacting concrete. Mater Struct 37 7 (2004) 442-448
27. Xiao J., and Falkner H. Bond behaviour between recycled aggregate concrete and steel rebars. Construct Building Mater 21 2 (2007) 395-401