Modeling of some properties of the crushed tile concretes exposed to elevated temperatures

Construction and Building Materials

Volumn 25, Issue 4, 2011, Pages 1883-1889

  Demir, Abdullah ^a   Topçu, Ilker Bekir ^b   Kuşan, Hakan ^a  

^a DUMLUPINAR UNIVERSITY   (Turkey)

^b ESKISEHIR OSMANGAZI UNIVERSITY   (Turkey)

Author keywords

Compressive strength; Crushed tile; Elevated temperature; Fuzzy logic; Modulus of elasticity; Neural networks

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COARSE AGGREGATES; CONCRETE SPECIMENS; CONSTRUCTING MODELS; CRUSHED STONES; CRUSHED TILE; DYNAMIC MODULUS OF ELASTICITY; ELEVATED TEMPERATURE; FEED FORWARD; FUZZY LOGIC MODEL; HIGH TEMPERATURE; MODULUS OF ELASTICITY; MULTI-LAYERED; ROOM TEMPERATURE; TRAINING AND TESTING;

BACKPROPAGATION ALGORITHMS; CONCRETES; ELASTIC MODULI; ELASTICITY; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; TEMPERATURE CONTROL;

COMPRESSIVE STRENGTH;

EID: 78650853220     PISSN: 09500618     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conbuildmat.2010.11.071     Document Type: Article

References (38)

1. Baradan B, Yazici H, Ün H. Durability of reinforced concrete structures. zmir: Dokuz Eylül University, Faculty of Engineering Publication; 2002. 282 p.
2. Topu B, Demir A. Effect of elevated temperatures fly ash added Portland cement mortars. In: Sixth national concrete congress, chamber of civil engineers, Istanbul Branch, stanbul, Turkey; 2005. p. 101-12.
3. Topu B, Demir A. The effect of high temperature exposure period on the properties of mortars. In: Seven national concrete congress, chamber of civil engineers, Istanbul Branch, stanbul, Turkey; 2007. p. 455-63.
4. Topu B, Demir A. The effect of high temperature on mortars with different types of cement content. In: TMB, 3rd international symposium "sustainability in cement concrete", stanbul, Turkey; 2007. p. 717-26.
5. G.F. Peng, Y.F. Liu, S.H. Bian, Q.X. Yi, and J. Zhao Explosive spalling and residual mechanical properties of fiber-toughened high-performance concrete subjected to high temperatures Cem Concr Res 36 4 2006 723 727
6. F.M. Khalaf, and A.S. Devenny Recycling of demolished masonry rubble as coarse aggregate in concrete:Review J Mat Civ Eng 16 4 2004 33 340
7. Hansen TC. Recycling of demolished concrete and masonry, London: RILEM Rep.6.E&FN Spon; 1992.
8. A.A. Akhtaruzzaman, and A. Hasnat Properties of concrete using crushed brick as aggregate ACI Con Int Design Constr 5 2 1983 58 63
9. A.R. Khaloo Properties of concrete using crushed clinker brick as coarse aggregate ACI Mater J 91 2 1994 401 407
10. A.R. Khaloo Crushed tile coarse aggregate concrete Cem Concr Aggr 17 2 1995 119 125
11. Topu B, Demir A. High temperature effect on crushed clay tile concrete, ACE. In: 7th international congress in civil engineering, Yildiz Technical University, Book of Abstracts, stanbul, Turkey; 2006. p. 456.
12. Topu B, Demir A. Research of fire and high temperature effects on concretes produced with waste crushed tile, ICSW 2007. In: The twenty-second international conference on solid waste technology and management, Philadelphia, USA, March 18-21; 2007. p. 1369-77.
13. M. Zakaira, and J.G. Cabrera Performance and durability of concrete made with demolition waste and artificial fly ash-clay aggregates Waste Manage 16 1-3 1996 151 158
14. J.H. Garrett, D.J. Gunaratham, and N. Ivezic Artificial neural networks for civil engineer N. Kartam, I. Flood, Fundamental and Applications 1997 ASCE 1 17
15. M. Saridemir, B Topu, F. Özcan, and M.H. Severcan Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic Constr Build Mater 23 3 2009 1279 1286
16. I.C. Yeh Modeling of strength of HPC using ANN Cem Concr Res 28 12 1998 1797 1808
17. S.C. Lee Prediction of concrete strength using artificial neural networks Eng Struct 25 7 2003 849 857
18. S. Lai, and M. Sera Concrete strength prediction by mean of neural networks Constr Build Mater 11 2 1997 93 98
19. W.P.S. Dias, and S.P. Pooliyadda Neural networks for predicting properties of concretes with admixtures Constr Build Mater 15 7 2001 371 379
20. S. Akkurt, S. Ozdemir, G. Tayfur, and B. Akyol The use of GA-ANNs in the modeling of compressive strength of cement mortar Cem Concr Res 33 7 2003 973 979
21. A. Özta, M. Pala, E. Özbay, E. Kanca, N. alar, and M.A. Bhatti Predicting the compressive strength and slump of high strength concrete using neural network Constr Build Mater 20 9 2006 769 775
22. A. Mukherjee, and S.N. Biswas Artificial neural networks in prediction of mechanical behavior of concrete at high temperature Nuclear Eng Des 178 1997 1 11
23. F. Demir A new way of prediction elastic modulus of normal and high strength concrete-fuzzy logic Cem Concr Res 35 2005 1531 1538
24. TSE, Cement - Part 1: compositions and conformity criteria for common cements, Turkish Standard EN 197-1, Ankara, Turkey; 2002.
25. TSE, Admixtures for concrete, mortar and grout - Part 2: concrete admixtures; Definitions, requirements, conformity, marking and labeling, Turkish Standard EN 934-2, Ankara, Turkey; 2002.
26. TSE, Fire resistance - Tests - Part 1: general requirements, Turkish Standard EN 1363-1, Ankara, Turkey; 2001.
27. J.A. Anderson Cognitive and psychological computation with neural models IEEE Trans Syst, Man Cyber V SMC 13 5 1983 799 814
28. H.M. Gunaydin, and S.Z. Dogan A neural network approach for early cost estimation of structural systems of building Int J Project Manage 22 7 2004 595 602
29. M.A. Arbib The handbook of brain theory and neural networks 1995 MIT Press Cambridge (MA)
30. M. Pala, E. Özbay, A. Özta, and M.I. Yuce Appraisal of long-term effects of fly ash and silica fume on compressive strength of concrete by neural networks Constr Build Mater 21 2 2005 384 394
31. S.W. Liu, J.H. Huang, J.C. Sung, and C.C. Lee Detection of cracks using neural networks and computational mechanics Comput Meth Appl Mech Eng 191 2002 2831 2845
32. J.J. Hopfield Neural networks and physical systems with emergent collective computational abilities Proc Nat Acad Sci 79 1982 2554 2558
33. B Topu, and M. Saridemir Prediction of properties of waste AAC aggregate concrete using ANN Comput Mater Sci 41 1 2007 117 125
34. B Topu, and M. Saridemir Prediction of compressive strength of concrete containing fly ash using artificial neural network and fuzzy logic Comput Mater Sci 41 3 2007 305 311
35. L.A. Zadeh Fuzzy sets Inform Contr 8 1967 338 353
36. Z. en Fuzzy algorithm for estimation of solar irradiation from sunshine duration Solar Energy 63 1 1998 39 49
37. S. Akkurt, G. Tayfur, and S. Can Fuzzy logic model for the prediction of cement compressive strength Cem Concr Res 34 8 2004 1429 1433
38. B Topu, and M. Saridemir Prediction of rubberized concrete properties using artificial neural network and fuzzy logic Constr Build Mater 22 4 2008 532 540 (Pubitemid 351179268)