Modeling and Optimization of Compressive Strength of Hollow Sandcrete Block with Rice Husk Ash Admixture
The paper presents the report of an investigation into the model development and optimization of the compressive strength of 55/45 to 70/30 cement/Rice Husk Ash (RHA) in hollow sandcrete block. The low cost and local availability potential of RHA, a pozzolanic material gasps for exploitation. The st...
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Enugu State University of Science and Technology, ESUT, Enugu, Nigeria.
2016-11-01
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Series: | Journal of Experimental Research |
Online Access: | http://www.er-journal.com/papers/onuamah_june2014_2_1.pdf |
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doaj-00c14e0b202a4f0fa9c8df4e85dcb5b12020-11-24T23:29:56ZengEnugu State University of Science and Technology, ESUT, Enugu, Nigeria.Journal of Experimental Research2315-96502502-05242016-11-01223159650Modeling and Optimization of Compressive Strength of Hollow Sandcrete Block with Rice Husk Ash AdmixtureThe paper presents the report of an investigation into the model development and optimization of the compressive strength of 55/45 to 70/30 cement/Rice Husk Ash (RHA) in hollow sandcrete block. The low cost and local availability potential of RHA, a pozzolanic material gasps for exploitation. The study applies the Scheffe\'s optimization approach to obtain a mathematical model of the form f(xi1 ,xi2 ,xi3 xi4 ), where x are proportions of the concrete components, viz: cement, RHA, sand and water. Scheffe\'s i experimental design techniques are followed to mould various hollow block samples measuring 450mm x 225mm x 150mm and tested for 28 days strength. The task involved experimentation and design, applying the second order polynomial characterization process of the simplex lattice method. The model adequacy is checked using the control factors. Finally, a software is prepared to handle the design computation process to take the desired property of the mix, and generate the optimal mix ratios. Reversibly, any mix ratios can be desired and the attainable strength obtained.http://www.er-journal.com/papers/onuamah_june2014_2_1.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
title |
Modeling and Optimization of Compressive Strength of Hollow Sandcrete Block with Rice Husk Ash Admixture |
spellingShingle |
Modeling and Optimization of Compressive Strength of Hollow Sandcrete Block with Rice Husk Ash Admixture Journal of Experimental Research |
title_short |
Modeling and Optimization of Compressive Strength of Hollow Sandcrete Block with Rice Husk Ash Admixture |
title_full |
Modeling and Optimization of Compressive Strength of Hollow Sandcrete Block with Rice Husk Ash Admixture |
title_fullStr |
Modeling and Optimization of Compressive Strength of Hollow Sandcrete Block with Rice Husk Ash Admixture |
title_full_unstemmed |
Modeling and Optimization of Compressive Strength of Hollow Sandcrete Block with Rice Husk Ash Admixture |
title_sort |
modeling and optimization of compressive strength of hollow sandcrete block with rice husk ash admixture |
publisher |
Enugu State University of Science and Technology, ESUT, Enugu, Nigeria. |
series |
Journal of Experimental Research |
issn |
2315-9650 2502-0524 |
publishDate |
2016-11-01 |
description |
The paper presents the report of an investigation into the model development and optimization of the compressive strength of 55/45 to 70/30 cement/Rice Husk Ash (RHA) in hollow sandcrete block. The low cost and local availability potential of RHA, a pozzolanic material gasps for exploitation. The study applies the Scheffe\'s optimization approach to obtain a mathematical model of the form f(xi1 ,xi2 ,xi3 xi4 ), where x are proportions of the concrete components, viz: cement, RHA, sand and water. Scheffe\'s i experimental design techniques are followed to mould various hollow block samples measuring 450mm x 225mm x 150mm and tested for 28 days strength. The task involved experimentation and design, applying the second order polynomial characterization process of the simplex lattice method. The model adequacy is checked using the control factors. Finally, a software is prepared to handle the design computation process to take the desired property of the mix, and generate the optimal mix ratios. Reversibly, any mix ratios can be desired and the attainable strength obtained. |
url |
http://www.er-journal.com/papers/onuamah_june2014_2_1.pdf |
_version_ |
1725543480942395392 |