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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Format: Article
Language:English
Published: Enugu State University of Science and Technology, ESUT, Enugu, Nigeria. 2016-11-01
Series:Journal of Experimental Research
Online Access:http://www.er-journal.com/papers/onuamah_june2014_2_1.pdf
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spelling 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
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