This research predicts the strength properties of concrete containing Calcined Black Cotton Soil (CBCS) using response surface methodology. Cement production requires large amount of energy and emits greenhouse gases that have negative impact on the environment. Utilization of CBCS as cement replacement in concrete will reduce these negative impact. Experimental plan was designed using response surface method in Design Expert software to predict compressive strength, density and water absorption of concrete containing CBCS. The CBCS was varied from 5 to 20% while the curing period was varied and 7 to 28 days. Face-centered central composite design method of response surface was used. The design consists of two design factors at three levels (coded as -1, 0, +1) each. The factors are the curing period, and the CBCS contents. The results showed that CBCS is a pozzolana. CBCS increases durability of concrete by decreasing its water absorption. All the response surface models developed for the water absorption, density and compressive strength showed very good relationship between the predictors and the responses with coefficients of determination, R2 > 0.94 and p-values < 0.05.
| Published in | American Journal of Materials Synthesis and Processing (Volume 5, Issue 2) |
| DOI | 10.11648/j.ajmsp.20200502.11 |
| Page(s) | 17-25 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Calcined Black Cotton Soil, Compressive Strength, Concrete, Density, Response Surface Methodology, Water Absorption
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APA Style
Aliyu Abubakar, Udofia Ruth Idongesit, Claudius Konitufe, Abbagana Mohammed. (2020). Prediction of Strength Properties of Concrete Containing Calcined Black Cotton Soil Using Response Surface Methodology. American Journal of Materials Synthesis and Processing, 5(2), 17-25. https://doi.org/10.11648/j.ajmsp.20200502.11
ACS Style
Aliyu Abubakar; Udofia Ruth Idongesit; Claudius Konitufe; Abbagana Mohammed. Prediction of Strength Properties of Concrete Containing Calcined Black Cotton Soil Using Response Surface Methodology. Am. J. Mater. Synth. Process. 2020, 5(2), 17-25. doi: 10.11648/j.ajmsp.20200502.11
AMA Style
Aliyu Abubakar, Udofia Ruth Idongesit, Claudius Konitufe, Abbagana Mohammed. Prediction of Strength Properties of Concrete Containing Calcined Black Cotton Soil Using Response Surface Methodology. Am J Mater Synth Process. 2020;5(2):17-25. doi: 10.11648/j.ajmsp.20200502.11
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Download@article{10.11648/j.ajmsp.20200502.11,
author = {Aliyu Abubakar and Udofia Ruth Idongesit and Claudius Konitufe and Abbagana Mohammed},
title = {Prediction of Strength Properties of Concrete Containing Calcined Black Cotton Soil Using Response Surface Methodology},
journal = {American Journal of Materials Synthesis and Processing},
volume = {5},
number = {2},
pages = {17-25},
doi = {10.11648/j.ajmsp.20200502.11},
url = {https://doi.org/10.11648/j.ajmsp.20200502.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmsp.20200502.11},
abstract = {This research predicts the strength properties of concrete containing Calcined Black Cotton Soil (CBCS) using response surface methodology. Cement production requires large amount of energy and emits greenhouse gases that have negative impact on the environment. Utilization of CBCS as cement replacement in concrete will reduce these negative impact. Experimental plan was designed using response surface method in Design Expert software to predict compressive strength, density and water absorption of concrete containing CBCS. The CBCS was varied from 5 to 20% while the curing period was varied and 7 to 28 days. Face-centered central composite design method of response surface was used. The design consists of two design factors at three levels (coded as -1, 0, +1) each. The factors are the curing period, and the CBCS contents. The results showed that CBCS is a pozzolana. CBCS increases durability of concrete by decreasing its water absorption. All the response surface models developed for the water absorption, density and compressive strength showed very good relationship between the predictors and the responses with coefficients of determination, R2 > 0.94 and p-values < 0.05.},
year = {2020}
}
TY - JOUR T1 - Prediction of Strength Properties of Concrete Containing Calcined Black Cotton Soil Using Response Surface Methodology AU - Aliyu Abubakar AU - Udofia Ruth Idongesit AU - Claudius Konitufe AU - Abbagana Mohammed Y1 - 2020/12/16 PY - 2020 N1 - https://doi.org/10.11648/j.ajmsp.20200502.11 DO - 10.11648/j.ajmsp.20200502.11 T2 - American Journal of Materials Synthesis and Processing JF - American Journal of Materials Synthesis and Processing JO - American Journal of Materials Synthesis and Processing SP - 17 EP - 25 PB - Science Publishing Group SN - 2575-1530 UR - https://doi.org/10.11648/j.ajmsp.20200502.11 AB - This research predicts the strength properties of concrete containing Calcined Black Cotton Soil (CBCS) using response surface methodology. Cement production requires large amount of energy and emits greenhouse gases that have negative impact on the environment. Utilization of CBCS as cement replacement in concrete will reduce these negative impact. Experimental plan was designed using response surface method in Design Expert software to predict compressive strength, density and water absorption of concrete containing CBCS. The CBCS was varied from 5 to 20% while the curing period was varied and 7 to 28 days. Face-centered central composite design method of response surface was used. The design consists of two design factors at three levels (coded as -1, 0, +1) each. The factors are the curing period, and the CBCS contents. The results showed that CBCS is a pozzolana. CBCS increases durability of concrete by decreasing its water absorption. All the response surface models developed for the water absorption, density and compressive strength showed very good relationship between the predictors and the responses with coefficients of determination, R2 > 0.94 and p-values < 0.05. VL - 5 IS - 2 ER -
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