Optimum Mixture Proportioning of Sawdust Ash Blended Sand-Stone Dust Blocks Using Scheffe’s Regression Theory

Authors

  • Temple Nwofor University of PortHarcourt, Rivers State, Nigeria.
  • S. Sule
  • F. U. Atafo

Keywords:

Comprehensive Strength, Stone dust, Sawdust Ash, Optimization, mathematical model

Abstract

This study carried out an experimental investigation on the compressive strength of sawdust ash blended sand-stone dust block of size 450 x 225 x 150 mm using Scheffe’s (5, 2) regression theory. The compressive strength of sawdust ash blended sand-stone dust blocks obtained based on fifteen trial mix ratios were used to develop the mathematical model while the results of the compressive strength values obtained based on the additional fifteen mix ratios were used to validate the mathematical model. The sawdust ash blended sand-stone dust block specimens were manufactured based on the fifteen first fifteen trial mix ratios and the fifteen control mix ratios. The component materials were properly mixed using a shovel and then compacted into the block mould. Two block specimens were produced per mix ratio, making a total of 60 blocks for compressive strength test at age28 days. A computer program was developed using Visual software based on the model developed to quicken the process of selecting the cheapest mix ratios corresponding to a desired compressive strength value and vice versa. The model has determined that the optimal compressive strength achievable is 6.93372 N/mm2, and it corresponds to a specific mix ratio of 0.56 parts water, 0.86 parts cement, 0.14 parts sawdust ash, 5.28 parts sand, and 1.52 parts stone dust. The compressive strength of sandcrete block obtained at 13.75% replacement is 6.644N/mm2 . This value is far above the minimum value of compressive strength recommended by Nigeria Standard-NIS 87:2000 showing that sawdust ash blended sand-stone dust block can be used as load bearing walls.

Author Biography

  • Temple Nwofor, University of PortHarcourt, Rivers State, Nigeria.
    Civil Engineering

References

Awodiji, C. T. G. and Sule S. (2021). A Multivariate Regression Model For Predicting The 28days

Flexural Strength Of Lime Cement Concrete, Federal University Oye-Ekiti Journal of Engineering

and Technology, Vol. 6, No. 4, pp. 401-407.

British Standard Institution. BS EN 197, part 1. Composition, Specification And Conformity

Criteria For Common Cements. BSI, London, 2000.

British Standards Institution. BS 882: part 2. Grading Limits for Fine Aggregates. BSI, London,

Chendo, I.J. and Obi, N.I. (2015). Building Collapse In Nigeria: the causes, effects, Consequences

And Remedies. International Journal of Civil Engineering, Construction and Estate Management.

Vol.3, No.4, 41- 49.

Egamana, S. and Sule S. (2017). Optimization of Compressive Strength Of Periwinkle Shell

Aggregate Concrete. Nigeria Journal of Technology 36 (1), 32-38.

Nigeria Industrial Standard 2000. NIS 87-2000. Standard for Sandcrete Blocks.

Onwuka, D.O. and Sule, S. (2017). 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, pp. 1338-1358.

Onwuka, D. O. and Sule, S. (2017). Prediction of Flexural Strength of Chikoko Pozzolana Blended

Cement Concrete. Nigeria Journal of Technology. 36(3): 712-723.

Oyekan, G . L. and Kamiyo, O.M. (2011). A Study On The Engineering Properties Of Sandcrete

Blocks Produced With Rice Hush Ash Blended Cement. Journal of Engineering and Technology

Research Vol. 3(3), pp.88-98.

Oyetola, E. B and Abdullahi, M. (2006). The Use of Rice Hush in Low-Cost Sandcrete Block

Production. Leonardo Electronic Journal of Practice and Technology, ISSN 1583-1078, Issue 8, pp

-70.

Scheffe, H. Experiments With Mixtures (1958), Journal of Royal Statistical Society Series B, 20,

-360.

Sule, S., Nwofor, T.C. and Muhammed, A (2020a). Prediction of Compressive Strength of

Periwinkle Shell Aggregate Concrete using a Quadratic polynomial Function. International Journal

of Concrete Technology, Vol.6: Issue 2, pp 12-21.

Sule, S., Nwofor, T.C. and Dim, I.H. (2020b). Optimization of Compressive Strength of Snail Shell

Blended Concrete. International Journal of Construction Engineering and Planning, Vol.6: Issue 2,

pp 29-37.

Sule, S., Nwofor, T.C. and Ebirien-Agana, M.G. (2020c). Mathematical Model for the Prediction

of Compressive Strength of High performance Concrete (HPC) containing Sawdust Ash and

Superplasticiser. International Journal of Construction Engineering and Planning, Vol.6: Issue 2,

pp 29-37.

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Published

2023-10-02

Issue

Vol. 13 No. 2 (2023)

Section

Research Article

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