Optimization of Concrete Made with Abakaliki Quarry Dust as Fine Aggregate Using Scheffe’s Optimization Model

Chijioke Chiemela; Peter C. Okoye; Pius C. Nwosu; O. Mong Oke; Christian N. Ohakwe

doi:10.56431/p-933yp0

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HomeInternational Letters of Natural SciencesInternational Letters of Natural Sciences Vol. 20Optimization of Concrete Made with Abakaliki...

Optimization of Concrete Made with Abakaliki Quarry Dust as Fine Aggregate Using Scheffe’s Optimization Model

Abstract:

In recent years, Nigeria has witness rapid development especially in the area of infrastructural development like roads, bridges, buildings etc. The conventional methods used in concrete mixing have its own peculiar problems, like time wasting, material wasting and errors. These problems have been the cause of structural failures which has given rise to loss of life and properties. Hence the need to development a method that will take care of all these anomalies witness in the conventional method. This work is aim at removing these anomalies by the use of Scheffes optimization method. This optimization method can predict the compressive strength of a concrete given the mix ratios and also predict the mix ratios required to give a compressive strength for a particular concrete made by completely replacing river sand with quarry dust. With this method it will be easy to predict the compressive strength of concrete based on the type of structure it is to be used for, there by eliminating the problems associated with structural collapse due to errors in concrete mixing by conventional method

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Periodical:

International Letters of Natural Sciences (Volume 20)

Pages:

115-128

DOI:

https://doi.org/10.56431/p-933yp0

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Online since:

July 2014

Authors:

Chijioke Chiemela, Peter C. Okoye, Pius C. Nwosu, O. Mong Oke, Christian N. Ohakwe

Keywords:

Compressive Strength, Concrete, Quarry Dust, Scheffs Optimization Model, Simplex Design

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References

[1] BS 12 (1978). Specification for Portland Cement. London British Standard Institute.

Google Scholar

[2] BS 812 (1975). Method of Determination of Particle size and Shape. London British Standard Institute.

Google Scholar

[3] BS 1881 (1983). Method of determination of Compressive Strength of Concrete Cubes. London British Standard Institute.

Google Scholar

[4] Kalantari B., Mafian S., Huat B. B. K., Contemporary Engineering Science 2(3) (2009) 139-148.

Google Scholar

[5] Mahzuz H. M. A., Ahmed A. A., Yusuf M. A., African Journal of Environmental Science and Technology 5(5) (2011) 381-388.

Google Scholar

[6] Rajasekeran S., Indian Journal of Engineering & Material Science 13 (2005) 7-17.

Google Scholar

[7] Sharmin R., Ahmed M., Mohiuddin A., Forhat A. L., ARPN J. Eng. Appl. Sci. 1(2) (2006) 1-4.

Google Scholar

[8] Scheffes H., Journal of the Royal Statistical Society. Ser B, 20 (1958) 344-360.

Google Scholar

[9] Simon M. J. (2003). Concrete Mixture Optimization Using Statistical Methods: Final Report. FHWA, Ofiice of Infrastural Research and Development. 6300 Georgetown Pick McLean, VA 22101.

Google Scholar

[10] Simon M. J., Lagergren E. S., Snyder K. A. (1997). Concrete Mixture Optimization Using Statistical Mixture Design Method. International Symposium on High Performance Concrete, New Orleans Louisiana.

Google Scholar

[11] Troxel G. E., Davies H. E., Kelly J .W. (1968). Composition and properties of Concrete. (p.528.). 2nd edition McGraw Hill Books Company New York.

Google Scholar

[12] Waziri B. S., Bukar A. G., Gaji Y. Z. A., Continental J. Engineering Science 6(2) (2011) 1-6. ( Received 13 June 2014; accepted 18 July 2014 )

Google Scholar