Modeling properties of self-compacting concrete: Support vector machines approach

Computers and Concrete

Volumn 5, Issue 5, 2008, Pages 461-473

  Siddique, Rafat ^a   Aggarwal, Paratibha ^b   Aggarwal, Yogesh ^b   Gupta, S M ^b  

^a THAPAR UNIVERSITY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

28 day compressive strength; Neural network; Prediction; Slump flow; Support vector machines technique

Indexed keywords

BACKPROPAGATION; COMPRESSIVE STRENGTH; CONCRETES; DATA FLOW ANALYSIS; FORECASTING; MEAN SQUARE ERROR; NEURAL NETWORKS; SELF COMPACTING CONCRETE; VECTORS;

BACK PROPAGATION NEURAL NETWORKS; CORRELATION COEFFICIENT; DATA SET; MODEL PROPERTIES; POLYNOMIAL KERNELS; RBF KERNELS; ROOT MEAN SQUARE ERRORS; SLUMP FLOW;

SUPPORT VECTOR MACHINES;

EID: 80052004500     PISSN: 15988198     EISSN: None     Source Type: Journal    
DOI: 10.12989/cac.2008.5.5.461     Document Type: Article

References (34)

1. Bouzoubaa, N. and Lachemi, M. (2001), "Self-compacting concrete incorporating high volumes of class F fly ash Preliminary results", Cement Concrete Res., 31, 413-420. (Pubitemid 32385073)
2. Bui, V.K., Akkaya, Y. and Shah, S.P. (2002), "Rheological model for self-consolidating concrete", ACI Mater. J., 99(6), 549-559.
3. Chengju, G. (1989), "Maturity of concrete: Method for predicting early stage strength", ACI Mater. J., 86(4), 341-353.
4. Dias, W.P.S. and Pooliyadda, S.P. (2001), "Neural networks for predicting properties of concretes with Admixtures", Constr. Build. Mater., 15, 371-379. (Pubitemid 32573518)
5. Dibike, Y.B., Velickov, S., Solomatine, D.P. and Abbott, M.B. (2001), "Model induction with support vector machines: Introduction and applications", J. Comput. Civ. Eng., ASCE, 15, 208-216. (Pubitemid 32583199)
6. Ghezal, A. and Khayat, K.H. (2002), "Optimizing self-consolidating concrete with limestone filler by using statistical factorial design methods", ACI Mater. J., 99(3), 264-268.
7. Hong-Guang, N. and Ji-Zong, W. (2000), "Prediction of compressive strength of concrete by neural networks" Cement Concrete Res., 3(8), 1245-1250.
8. Kasperkiewicz, J., Rach, J. and Dubrawski, A. (1995), "HPC strength prediction using Artificial neural network", J. Compu. Civ. Engg., 9(4), 279-284.
9. Kim, J.I., Kim, D. K., Feng, M.Q. and Yazdani, F. (2004), "Application of Neural Networks for Estimation of Concrete Strength", J. Mater. Civ. Eng., 16(3), 257-264. (Pubitemid 38728468)
10. Ji, T. and Lin, X.J. (2006), "A mortar mix proportion design algorithm based on artificial neural networks". Computers and Concrete, 3(5), 357-373. (Pubitemid 44629360)
11. Lai, S. and Serra, M. (1997), "Concrete strength prediction by means of neural network", Constr. Build. Mater., 11(2), 93-98. (Pubitemid 127420185)
12. Lee, S. (2003), "Prediction of concrete strength using artificial neural networks", Eng. Struct., 25(7), 849-857. (Pubitemid 36558074)
13. Lee, J.J., Kim, D.K., Chang, S.K., and Lee, J.H. (2007), "Application of support vector regression for the prediction of concrete strength", Comput. Concrete, 4(4), 299-316. (Pubitemid 47389154)
14. Nagamoto, N. and Ozawa, K. (1997), "Mixture properties of self-compacting, High performance concrete" Third CANMET/ ACI International Conference on Design and Materials and Recent Advances in Concrete Technology, SP-172, V.M.Malthotra, ed., American Concrete Institute, Farmington Hills, Mich., 623-627.
15. Nehdi, M., Chabib, H.E. and Naggar, M.H.E. (2001), "Predicting performance of self-compacting concrete mixtures using artificial neural networks" ACI Mater. J., 98(5), 394-401.
16. Oh, J.W., Kim, J.T. and Lee, G.W. (1999), "Application of neural networks for proportioning of concrete mixes", ACI Mater. J., 96(1), 61-67.
17. Okamura, H. (1997), "Self-compacting concrete-Ferguson Lecture for 1996", Concr. Int., 19(7), 50-54.
18. Oluokun, F.A., Burdette, E.G. and Deatherage J.H. (1990), "Early-age concrete strength prediction by maturity - Another look", ACI Mater. J., 87(6), 565-572.
19. Pal, M. and Mather, PM. (2003), "Support vector classifiers for land cover classification", Map India 2003, New Delhi, 28-31 January, www.gisdevelopment.net/technology/rs/ pdf/23.pdf.
20. Patel, R., Hossain, K.M.A., Shehata, M., Bouzoubaa, N. and Lachemi, M. (2004), "Development of statistical models for mixture design of high-volume fly ash self-consolidation concrete", ACI Mater. J., 101(4), 294-302.
21. Platt, J.C. (1999), "Fast training of support vector machines using sequential minimal optimization". Advances in Kernels Methods: Support vector machines, Schölkopf, B, Burges, C. and Smola, A. (Eds.), Cambridge, MA: MIT Press.
22. Popovics, S. (1998), " History of a mathematical model for strength development of Portland cement concrete". ACI Mater. J., 95(5), 593-600. (Pubitemid 128547633)
23. Ren, L.Q. and Zhao, Z.Y. (2002), "An optimal neural network and concrete strength modeling". J. Adv. Eng. Software, 33, 117-130.
24. Sebastia, M., Olmo, I.F., and Irabien, A. (2003), "Neural network prediction of unconfined compressive strength of coal fly ash-cement mixtures", Cement Concrete Res., 33, 1137-1146.
25. Smola, A.J. (1996), "Regression estimation with support vector learning machines", Master's Thesis, Technische Universität München, Germany.
26. Snell, L.M., Van Roekel, J. and Wallace, N.D. (1989), "Predicting early concrete strength", Concrete Int., 11(12), 43-47. (Pubitemid 20656279)
27. Sonebi, M. (2004a), "Application of statistical models in proportioning medium strength self-consolidating concrete" ACI Mater. J., 101(5), 339-346.
28. Sonebi, M. (2004b), "Medium strength self-compacting concrete containing fly ash: Modelling using factorial experimental plans", Cement Concrete Res., 34(7), 1199-1208.
29. Witten, I.H. and Frank, E. (1999), Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco.
30. Vapnik, V.N. (1995), The Nature of Statistical Learning Theory, Springer-Verlag, New York.
31. Yeh, I-Cheng. (1998a), "Modeling concrete strength using augment-neuron network", J. Mater. Civ. Eng., 10(4), Nov.
32. Yeh, I-Cheng. (1998b), "Modeling of strength of high-performance concrete using artificial neural networks", Cement Concrete Res., 28(12), 1797-1808. (Pubitemid 128638428)
33. Yeh, I-Cheng. (1999), "Design of high-performance concrete mixture using neural networks and nonlinear programming". , J. Comput. Civ. Eng., 13(1), Jan.
34. Yeh, I-Cheng. (2008), "Prediction of workability of concrete using design of experiments for mixtures". Comput. Concrete, 5(1), 1-20.