Prediction of Cost of Chikoko-Cement Concrete Using Osadebe’s Regression Polynomial

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2019 by IJRES Journal
Volume-6 Issue-3
Year of Publication : 2019
Authors : J. I. Arimanwa and S. Sule
DOI :    10.14445/23497157/IJRES-V6I3P102

Citation 

MLA Style :J. I. Arimanwa and S. Sule "Prediction of Cost of Chikoko-Cement Concrete Using Osadebe’s Regression Polynomial" International Journal of Recent Engineering Science 6.3(2019):9-18. 

APA Style :J. I. Arimanwa and S. Sule, Prediction of Cost of Chikoko-Cement Concrete Using Osadebe’s Regression Polynomial. International Journal of Recent Engineering Science, 6(3),9-18.

Abstract
In this paper, Osadebe’s regression polynomial is used to predict the cost of chikoko-cement concrete. The cost model was formulated based on the unit costs of the component materials. The expected cost values were compared with the observed cost values and were found to coincide at all points of observation. The reliability of the model was assessed using F-statistic at a 5% level of significance and was found to be adequate. A computer program written in BASIC language was invoked to select the optimum mix ratios corresponding to the desired overall cost value and vice versa. The computer program is simple and requires less effort to achieve the desired results.

Reference
[1] S.O. Obam, and N.N. Osadebe, Optimization of compressive strength of rice husk ash pozzolan concrete, Journal of Scientific and Industrial Studies, 1(2), 2006, 51-57.
[2] N.N Osadebe, and S.O. Obam, Improvements in the properties of concrete by partial substitution of ordinary Portland cement rice husk ash, Proceedings of Annual Conference of IRDI Science and Technology Forum, University of Nigeria Nsukka. 2(2), 2006, 87-91.
[3] E.E. Ndububa, and N.N. Osadebe, An optimization of the flexural strength of fibre cements mixture using Scheffe’s Simplex Lattice. NSE Technical Transaction, 42, (1), 2007, 1- 17.
[4] D.O. Onwuka, C.E. Okere, and S.U. Onwuka, prediction of concrete mix cost using modified regression theory, Nigerian Journal of Technology, Vol. 32, No., 2013, 211-216.
[5] A.M. Neville, and J.J. Brook, Concrete technology, Longman Ltd., Singapore, 1990.
[6] THISDAY Newspaper, Economic situation affecting health of Nigerians, October, 2016.
[7] T.C. Nwofor, O. ThankGod, "A Simplified Framework for Condition Prediction of Building Components" SSRG International Journal of Civil Engineering 5.8 (2018): 32- 39.
[8] G.R. Otoko, On the economic use of cement in soil stabilization. International Journal of Engineering and Technology Research, Vol2. No.1, , 2014, 01-07
[9] D.O. Onwuka, and S. Sule, Prediction of compressive strength of chikoko-cement concrete using Scheffe’s Polynomial Function. USEP: Journal of Research Information in Civil Engineering, Vol. 14, No 1, 2017, 1338-1358.
[10] Anyaogu, L. and Ezeh, J.C. (2013). Optimization of compressive strength of fly ash blended cement concrete using Scheffe’s Simplex Theory. Natural and Applied Sciences, Vol. 4, No.2, pp. 177-186.
[11] BS 12: Specification for Portland cement. British Standards Institution, 1978.
[12] BS 812: Part 1Methods for determination of particle size and shape, 1975.
[13] T. Johnarry, and E.H. Alabo, Processed silty clays of alluvial mud-flats as pozzolan/filter. The proceedings of the national conference on construction engineering and management, organized by Department of Civil Engineering, University of Port Harcourt, Rivers state. 1987, 393-402.

Keywords
Chikoko-cement concrete, Level of significance, Mix ratios, observed cost, Osadebe’s regression theory, Overall cost, Predicted cost.