DOI QR코드

DOI QR Code

Prediction of product parameters of fly ash cement bricks using two dimensional orthogonal polynomials in the regression analysis

  • Chakraverty, S. (B.P.P.P. Division, Central Building Research Institute Roorkee) ;
  • Saini, Himani (B.P.P.P. Division, Central Building Research Institute Roorkee) ;
  • Panigrahi, S.K. (B.P.P.P. Division, Central Building Research Institute Roorkee)
  • Received : 2007.04.12
  • Accepted : 2008.07.30
  • Published : 2008.10.25

Abstract

This paper focuses on the application of two dimensional orthogonal polynomials in the regression analysis for the relationship of product parameters viz. compressive strength, bulk density and water absorption of fly ash cement bricks with other process parameters such as percentages of fly ash, sand and cement. The method has been validated by linear and non-linear two parameter regression models. The use of two dimensional orthogonal system makes the analysis computationally efficient, simple and straight forward. Corresponding co-efficient of determination and F-test are also reported to show the efficacy and reliability of the relationships. By applying the evolved relationships, the product parameters of fly ash cement bricks may be approximated for the use in construction sectors.

Keywords

References

  1. Bhat, R.B. and Chakraverty, S. (2004), Numerical analysis in Engineering, Narosa, N. Delhi.
  2. Chakraverty, S., Panigrahi, S.K., Gupta, R.L. and Kumar N. (2004), "Mathematical relationships for the assessment of product parameters of fly ash lime bricks", Journal of New Building Materials and Construction World, 9(8).
  3. Chakraverty, S. and Panigrahi, S.K. (2005), "FL-BRASM A Computer Software for assessment of physical properties of fly ash lime bricks", Journal of New Building Materials and Construction World, 11(2).
  4. Cicek, T. and Tanriverdi, M. (2007), "Lime based steam autoclaved fly ash bricks", Construction and Building Materials, 21(6), 1295-1300. https://doi.org/10.1016/j.conbuildmat.2006.01.005
  5. Daouglas, C. Montgomery and George C.R. (1999), Applied Statistics and Probability Analysis for Engineers, John Wiley, New York.
  6. Dattatreya, J.K., Rajamane, N.P., Neelamegam, M., Annie Peter, J. and Gopalkrishnan, S. (2002), "Technical consideration for use of flyash in structural concrete", New Build. Material and Construction World, 56-71.
  7. Douglas, E. and Pousk ouleli G. (1991), "Prediction of compressive strength of mortars made with portland cement-blast furnace slag-flyash blends", Cement Concrete Res., 21(4), 523-534. https://doi.org/10.1016/0008-8846(91)90102-N
  8. Freidin, C. (2005), "Influence of variability of oil shale fly ash on compressive strength of cementless building compounds", Constr. Build. Mater., 19(2), p127-133. https://doi.org/10.1016/j.conbuildmat.2004.05.015
  9. Gerald, C.F. and Wheatley, P.O. (1999), Applied Numerical Analysis, Addison Wesley.
  10. Hossain Khandaker, M.A., Lachemi Mohamed and Easa Said M. (2006), "Artificial neural network model for the strength prediction of fully restrained RC slabs subjected to membrane action", Comput. Concrete, 3(6), 439-454. https://doi.org/10.12989/cac.2006.3.6.439
  11. Li Gengying and Wu, Xiaozhong (2005), "Influence of fly ash and its mean particle size on certain engineering properties of cement composite mortars", Cement Concrete Res., 35(6), 1128-1134. https://doi.org/10.1016/j.cemconres.2004.08.014
  12. Mandal, A. and Roy, P. (2006), "Modeling the compressive strength of Molasses-cement sand system using design of experiments and back propogation neural network", J. Mater. Precessing Tech., 180(1-3), 167-173. https://doi.org/10.1016/j.jmatprotec.2006.05.017
  13. Mohan Rai, Chandra Dinesh, Gupta R.L. and Jain, S.K. (1998), "Production of calcium silicate bricks from fly ash, National workshop on utilization of fly ash", Roorkee, May 19-20, A59-A62.
  14. National seminar proceedings on autoclaved calcium silicate products, New Delhi1990.
  15. Project completion report on 'Development of software for assessment of physical properties of building bricks' CBRI, Roorkee, 2004.
  16. Rajamane, N.P., Peter, J. Annie and Ambily, P.S. (2007), "Prediction of compressive strength of concrete with fly ash as sand replacement material", Cement Concrete Compos., 29(3), 218-223. https://doi.org/10.1016/j.cemconcomp.2006.10.001
  17. Ramadoss, P. and Nagamani, K. (2008), "A new strength model for the high-performance fiber reinforced concrete", Comput. Concrete, 5(1), 21-36. https://doi.org/10.12989/cac.2008.5.1.021
  18. Rukzon, Sumrerng and Chindaprasirt, Prinya (2008) "Mathematical model of strength and porosity of ternary blend Portland rice husk ash and fly ash cement mortar", Comput. Compos., 5(1), 75-88.
  19. Singh, B. and Chakraverty, S. (1994), "Boundary characteristic orthogonal polynomials in numerical approximation", Communications in Numerical Methods in Eng. 10, 1027-1043. https://doi.org/10.1002/cnm.1640101209
  20. Wang, D. and Chen, Z. (1997), "On Prediction compressive strength of mortars with ternary blends of cement, GGBFS and flyash", Cement Concrete Res., 27(4), 487-493. https://doi.org/10.1016/S0008-8846(97)00039-2
  21. Wang, J. and Ni, H. (2000), "Prediction of compressive strength of cement based on BP neural networks", J. the Chinese Ceramic Society, 27(4), 408-414.
  22. Yeh, I-Cheng, (2006), "Generalisation of strength verses water-cementitious ratio relationship to age", Cement Concrete Res., 36(10), 1865-1873. https://doi.org/10.1016/j.cemconres.2006.05.013
  23. Yeh, I.C. (1998), "Modeling concrete strength with augment-neuron networks", J. Mater. in Civil Eng., ASCE, 10(4), 263-268. https://doi.org/10.1061/(ASCE)0899-1561(1998)10:4(263)

Cited by

  1. Simulation of Experimental Parameters of RC Beams by Employing the Polynomial Regression Method vol.52, pp.3, 2016, https://doi.org/10.1007/s11029-016-9590-3
  2. Efficiency factor of high calcium Class F fly ash in concrete vol.8, pp.5, 2011, https://doi.org/10.12989/cac.2011.8.5.583