Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology

Olubajo Olumide Olu; Ibrahim Abuthakir; Jarumi Luka

doi:doi:10.11648/j.jccee.20220704.12

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Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology

Olubajo Olumide Olu, Ibrahim Abuthakir, Jarumi Luka

Published in Journal of Civil, Construction and Environmental Engineering (Volume 7, Issue 4)

Received: 26 May 2022 Accepted: 23 June 2022 Published: 13 July 2022

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Abstract

The necessity to overcome the challenge of cumbersome and time-wasting technique of strength determination of cement blends. Several avenues are been exploited in prediction of the mortar compressive strength of ternary cement blended comprising saw dust ash (SDA) and eggshell powder (ESP). The strength gains of the cement blends were determined and monitored based on factors like saw dust ash content, curing age and replacement level. The purpose of this research was to evaluate on the influence of saw dust ash with eggshell powder content, replacement level and curing age on the mortar strength using Box & Behnken (BBD), Central Composite (CCD) and Three Level Factorial (3FD) designs. Comparison of the various models was be conducted to ascertain the model with the best strength prediction. Optimization of the process conditions were also evaluated to obtain the optimal strength of the cement blends using response surface methodology. Analysis of variance (ANOVA) results showed that the experimental data satisfied second order polynomial regression model for all three models. An increase in SDA/SDA-ESP ratio and curing age both independently or simultaneously led to an increase in the mortar strength of various cement blends using 3FD and BBD models with the exception of CCD model which experienced a variation in the mortar strength due to an increase in SDA/SDA-ESP ratio and curing age. The curing age indicated the most significant influence compared with SDA/SDA-ESP ratio for CCD and 3FD models respectively. There was an agreement between experimental data and the predicted values evident by regression values of 0.9568, 0.9696 and 0.9923, for 3FD, CCD and BBD respectively. It was also observed that mortar strength via 3FD model produced a better model compared to CCD and BBD according to the ANOVA. The ANOVA revealed that the predicted regression value (R²_pred) and Regression value (R²) for 3FD model was very close compared with the other models and thus most suitable to describe the mortar strength of the SDA-ESP cement blends with R²_pred =0.9091 and had R²_pred = 0.8843 and R²_pred =0.5050 for CCD and BBD respectively. Optimization of the strength prediction for the ternary cement blends was conducted and the optimal condition desirability of 0.997 at SDA/SDA-ESP ratio of 0.2, replacement level 6.05 wt.% and curing age of 60 days with a mortar strength of 44.02 N/mm² respectively.

Published in	Journal of Civil, Construction and Environmental Engineering (Volume 7, Issue 4)
DOI	10.11648/j.jccee.20220704.12
Page(s)	46-62
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), 2022. Published by Science Publishing Group

Keywords

Strength Prediction, Optimization, Saw Dust Ash, Eggshell Powder, Replacement Level

References

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APA Style

Olubajo Olumide Olu, Ibrahim Abuthakir, Jarumi Luka. (2022). Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology. Journal of Civil, Construction and Environmental Engineering, 7(4), 46-62. https://doi.org/10.11648/j.jccee.20220704.12

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ACS Style

Olubajo Olumide Olu; Ibrahim Abuthakir; Jarumi Luka. Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology. J. Civ. Constr. Environ. Eng. 2022, 7(4), 46-62. doi: 10.11648/j.jccee.20220704.12

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AMA Style

Olubajo Olumide Olu, Ibrahim Abuthakir, Jarumi Luka. Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology. J Civ Constr Environ Eng. 2022;7(4):46-62. doi: 10.11648/j.jccee.20220704.12

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@article{10.11648/j.jccee.20220704.12,
  author = {Olubajo Olumide Olu and Ibrahim Abuthakir and Jarumi Luka},
  title = {Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology},
  journal = {Journal of Civil, Construction and Environmental Engineering},
  volume = {7},
  number = {4},
  pages = {46-62},
  doi = {10.11648/j.jccee.20220704.12},
  url = {https://doi.org/10.11648/j.jccee.20220704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jccee.20220704.12},
  abstract = {The necessity to overcome the challenge of cumbersome and time-wasting technique of strength determination of cement blends. Several avenues are been exploited in prediction of the mortar compressive strength of ternary cement blended comprising saw dust ash (SDA) and eggshell powder (ESP). The strength gains of the cement blends were determined and monitored based on factors like saw dust ash content, curing age and replacement level. The purpose of this research was to evaluate on the influence of saw dust ash with eggshell powder content, replacement level and curing age on the mortar strength using Box & Behnken (BBD), Central Composite (CCD) and Three Level Factorial (3FD) designs. Comparison of the various models was be conducted to ascertain the model with the best strength prediction. Optimization of the process conditions were also evaluated to obtain the optimal strength of the cement blends using response surface methodology. Analysis of variance (ANOVA) results showed that the experimental data satisfied second order polynomial regression model for all three models. An increase in SDA/SDA-ESP ratio and curing age both independently or simultaneously led to an increase in the mortar strength of various cement blends using 3FD and BBD models with the exception of CCD model which experienced a variation in the mortar strength due to an increase in SDA/SDA-ESP ratio and curing age. The curing age indicated the most significant influence compared with SDA/SDA-ESP ratio for CCD and 3FD models respectively. There was an agreement between experimental data and the predicted values evident by regression values of 0.9568, 0.9696 and 0.9923, for 3FD, CCD and BBD respectively. It was also observed that mortar strength via 3FD model produced a better model compared to CCD and BBD according to the ANOVA. The ANOVA revealed that the predicted regression value (R2pred) and Regression value (R2) for 3FD model was very close compared with the other models and thus most suitable to describe the mortar strength of the SDA-ESP cement blends with R2pred =0.9091 and had R2pred = 0.8843 and R2pred =0.5050 for CCD and BBD respectively. Optimization of the strength prediction for the ternary cement blends was conducted and the optimal condition desirability of 0.997 at SDA/SDA-ESP ratio of 0.2, replacement level 6.05 wt.% and curing age of 60 days with a mortar strength of 44.02 N/mm2 respectively.},
 year = {2022}
}

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TY  - JOUR
T1  - Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology
AU  - Olubajo Olumide Olu
AU  - Ibrahim Abuthakir
AU  - Jarumi Luka
Y1  - 2022/07/13
PY  - 2022
N1  - https://doi.org/10.11648/j.jccee.20220704.12
DO  - 10.11648/j.jccee.20220704.12
T2  - Journal of Civil, Construction and Environmental Engineering
JF  - Journal of Civil, Construction and Environmental Engineering
JO  - Journal of Civil, Construction and Environmental Engineering
SP  - 46
EP  - 62
PB  - Science Publishing Group
SN  - 2637-3890
UR  - https://doi.org/10.11648/j.jccee.20220704.12
AB  - The necessity to overcome the challenge of cumbersome and time-wasting technique of strength determination of cement blends. Several avenues are been exploited in prediction of the mortar compressive strength of ternary cement blended comprising saw dust ash (SDA) and eggshell powder (ESP). The strength gains of the cement blends were determined and monitored based on factors like saw dust ash content, curing age and replacement level. The purpose of this research was to evaluate on the influence of saw dust ash with eggshell powder content, replacement level and curing age on the mortar strength using Box & Behnken (BBD), Central Composite (CCD) and Three Level Factorial (3FD) designs. Comparison of the various models was be conducted to ascertain the model with the best strength prediction. Optimization of the process conditions were also evaluated to obtain the optimal strength of the cement blends using response surface methodology. Analysis of variance (ANOVA) results showed that the experimental data satisfied second order polynomial regression model for all three models. An increase in SDA/SDA-ESP ratio and curing age both independently or simultaneously led to an increase in the mortar strength of various cement blends using 3FD and BBD models with the exception of CCD model which experienced a variation in the mortar strength due to an increase in SDA/SDA-ESP ratio and curing age. The curing age indicated the most significant influence compared with SDA/SDA-ESP ratio for CCD and 3FD models respectively. There was an agreement between experimental data and the predicted values evident by regression values of 0.9568, 0.9696 and 0.9923, for 3FD, CCD and BBD respectively. It was also observed that mortar strength via 3FD model produced a better model compared to CCD and BBD according to the ANOVA. The ANOVA revealed that the predicted regression value (R2pred) and Regression value (R2) for 3FD model was very close compared with the other models and thus most suitable to describe the mortar strength of the SDA-ESP cement blends with R2pred =0.9091 and had R2pred = 0.8843 and R2pred =0.5050 for CCD and BBD respectively. Optimization of the strength prediction for the ternary cement blends was conducted and the optimal condition desirability of 0.997 at SDA/SDA-ESP ratio of 0.2, replacement level 6.05 wt.% and curing age of 60 days with a mortar strength of 44.02 N/mm2 respectively.
VL  - 7
IS  - 4
ER  -

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Author Information

Olubajo Olumide Olu

Department of Chemical Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria
Ibrahim Abuthakir

Department of Chemical Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria
Jarumi Luka

Department of Chemical Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria

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APA Style

Olubajo Olumide Olu, Ibrahim Abuthakir, Jarumi Luka. (2022). Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology. Journal of Civil, Construction and Environmental Engineering, 7(4), 46-62. https://doi.org/10.11648/j.jccee.20220704.12

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ACS Style

Olubajo Olumide Olu; Ibrahim Abuthakir; Jarumi Luka. Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology. J. Civ. Constr. Environ. Eng. 2022, 7(4), 46-62. doi: 10.11648/j.jccee.20220704.12

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AMA Style

Olubajo Olumide Olu, Ibrahim Abuthakir, Jarumi Luka. Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology. J Civ Constr Environ Eng. 2022;7(4):46-62. doi: 10.11648/j.jccee.20220704.12

Copy | Download

@article{10.11648/j.jccee.20220704.12,
  author = {Olubajo Olumide Olu and Ibrahim Abuthakir and Jarumi Luka},
  title = {Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology},
  journal = {Journal of Civil, Construction and Environmental Engineering},
  volume = {7},
  number = {4},
  pages = {46-62},
  doi = {10.11648/j.jccee.20220704.12},
  url = {https://doi.org/10.11648/j.jccee.20220704.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jccee.20220704.12},
  abstract = {The necessity to overcome the challenge of cumbersome and time-wasting technique of strength determination of cement blends. Several avenues are been exploited in prediction of the mortar compressive strength of ternary cement blended comprising saw dust ash (SDA) and eggshell powder (ESP). The strength gains of the cement blends were determined and monitored based on factors like saw dust ash content, curing age and replacement level. The purpose of this research was to evaluate on the influence of saw dust ash with eggshell powder content, replacement level and curing age on the mortar strength using Box & Behnken (BBD), Central Composite (CCD) and Three Level Factorial (3FD) designs. Comparison of the various models was be conducted to ascertain the model with the best strength prediction. Optimization of the process conditions were also evaluated to obtain the optimal strength of the cement blends using response surface methodology. Analysis of variance (ANOVA) results showed that the experimental data satisfied second order polynomial regression model for all three models. An increase in SDA/SDA-ESP ratio and curing age both independently or simultaneously led to an increase in the mortar strength of various cement blends using 3FD and BBD models with the exception of CCD model which experienced a variation in the mortar strength due to an increase in SDA/SDA-ESP ratio and curing age. The curing age indicated the most significant influence compared with SDA/SDA-ESP ratio for CCD and 3FD models respectively. There was an agreement between experimental data and the predicted values evident by regression values of 0.9568, 0.9696 and 0.9923, for 3FD, CCD and BBD respectively. It was also observed that mortar strength via 3FD model produced a better model compared to CCD and BBD according to the ANOVA. The ANOVA revealed that the predicted regression value (R2pred) and Regression value (R2) for 3FD model was very close compared with the other models and thus most suitable to describe the mortar strength of the SDA-ESP cement blends with R2pred =0.9091 and had R2pred = 0.8843 and R2pred =0.5050 for CCD and BBD respectively. Optimization of the strength prediction for the ternary cement blends was conducted and the optimal condition desirability of 0.997 at SDA/SDA-ESP ratio of 0.2, replacement level 6.05 wt.% and curing age of 60 days with a mortar strength of 44.02 N/mm2 respectively.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Strength Prediction and Optimization of Saw Dust Ash-Eggshell Cement Blends Using Response Surface Methodology
AU  - Olubajo Olumide Olu
AU  - Ibrahim Abuthakir
AU  - Jarumi Luka
Y1  - 2022/07/13
PY  - 2022
N1  - https://doi.org/10.11648/j.jccee.20220704.12
DO  - 10.11648/j.jccee.20220704.12
T2  - Journal of Civil, Construction and Environmental Engineering
JF  - Journal of Civil, Construction and Environmental Engineering
JO  - Journal of Civil, Construction and Environmental Engineering
SP  - 46
EP  - 62
PB  - Science Publishing Group
SN  - 2637-3890
UR  - https://doi.org/10.11648/j.jccee.20220704.12
AB  - The necessity to overcome the challenge of cumbersome and time-wasting technique of strength determination of cement blends. Several avenues are been exploited in prediction of the mortar compressive strength of ternary cement blended comprising saw dust ash (SDA) and eggshell powder (ESP). The strength gains of the cement blends were determined and monitored based on factors like saw dust ash content, curing age and replacement level. The purpose of this research was to evaluate on the influence of saw dust ash with eggshell powder content, replacement level and curing age on the mortar strength using Box & Behnken (BBD), Central Composite (CCD) and Three Level Factorial (3FD) designs. Comparison of the various models was be conducted to ascertain the model with the best strength prediction. Optimization of the process conditions were also evaluated to obtain the optimal strength of the cement blends using response surface methodology. Analysis of variance (ANOVA) results showed that the experimental data satisfied second order polynomial regression model for all three models. An increase in SDA/SDA-ESP ratio and curing age both independently or simultaneously led to an increase in the mortar strength of various cement blends using 3FD and BBD models with the exception of CCD model which experienced a variation in the mortar strength due to an increase in SDA/SDA-ESP ratio and curing age. The curing age indicated the most significant influence compared with SDA/SDA-ESP ratio for CCD and 3FD models respectively. There was an agreement between experimental data and the predicted values evident by regression values of 0.9568, 0.9696 and 0.9923, for 3FD, CCD and BBD respectively. It was also observed that mortar strength via 3FD model produced a better model compared to CCD and BBD according to the ANOVA. The ANOVA revealed that the predicted regression value (R2pred) and Regression value (R2) for 3FD model was very close compared with the other models and thus most suitable to describe the mortar strength of the SDA-ESP cement blends with R2pred =0.9091 and had R2pred = 0.8843 and R2pred =0.5050 for CCD and BBD respectively. Optimization of the strength prediction for the ternary cement blends was conducted and the optimal condition desirability of 0.997 at SDA/SDA-ESP ratio of 0.2, replacement level 6.05 wt.% and curing age of 60 days with a mortar strength of 44.02 N/mm2 respectively.
VL  - 7
IS  - 4
ER  -

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