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Selecting Optimized Mix Proportion of Bagasse Ash Blended Cement Mortar Using Analytic Hierarchy Process (AHP)

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Numerical Optimization in Engineering and Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 979))

Abstract

Durability is an important aspect in determining the performance of concrete structures. The results of the durability properties at 90 days are best suited in determining the performance of the concrete structures and mortars. In this paper, cement mortars blended with sugarcane bagasse ash (BA) are studied for their durability properties at 90 days. One control cement mortar specimen and four specimens at 5, 10, 15 and 20% replacement for cement are prepared, and their properties are compared. However, it is difficult to analyze the performance because of varying factors, and hence, an optimization methodology is adapted. analytic hierarchy process (AHP) is an optimization methodology used in evaluating the performance of the specimens based on durability criteria. In this technique, all the durability criteria for the cement mortar are compared with each other based on their importance in determining the performance. Finally, a single value is obtained by relating all the properties considered, and the optimized mix proportion for replacement of bagasse ash is determined.

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References

  1. Saaty, T.L.: What is the Analytic Hierarchy Process? Mathematical Models for Decision Support, pp. 109–121. Springer, Berlin, Heidelberg (1988)

    Book  Google Scholar 

  2. Lamaakchaoui, C., Azmani, A., El Jarroudi, M., Laghmari, G.: The selecting of complementary products using the AHP method. ESMB 6, 1–6 (2016)

    Google Scholar 

  3. Chakladar, N.D., Chakraborty, S.: A combined TOPSIS-AHP method based approach for non-traditional machining processes selection. J. Eng. Manuf. 222(12), 1613–1623 (2008)

    Article  Google Scholar 

  4. Erdebilli, B., Erkan, T.E.: Selecting the best supplier using analytic hierarchy process (AHP) method. Afr. J. Bus. Manag 6(4), 1455–1462 (2012)

    Google Scholar 

  5. Ince, M., Yigit, T., Isik, A.H.: AHP-TOPSIS method for learning object metadata evaluation. Int. J. Inf. Educ. Technol. 7(12), 884–887 (2017)

    Google Scholar 

  6. Socaciu, L., Giurgiu, O., Banyai, D., Simion, M.: PCM selection using AHP method to maintain thermal comfort of the vehicle occupants. Energy Procedia 85, 489–497 (2016)

    Article  Google Scholar 

  7. Lin, C.C., Wang, W.C., Yu, W.D.: Improving AHP for construction with an adaptive AHP approach (A3). Auto. Constr. 17(2), 180–187 (2008)

    Article  Google Scholar 

  8. Mansor, M.R., Sapuan, S.M., Zainudin, E.S., Nuraini, A.A., Hambali, A.: Hybrid natural and glass fibers reinforced polymer composites material selection using analytical hierarchy process for automotive brake lever. Mater. Des. 51, 484–492 (2013)

    Article  Google Scholar 

  9. Hudymacova, M., Benkova, M., Poscova, J., Skovranek, T.: Supplier selection based on multi-criterial AHP method. Acta Montan. Slovaca 15(3), 249–255 (2010)

    Google Scholar 

  10. Praveenkumar, S., Sankarasubramanian, G., Sindhu, S.: Selecting optimized mix proportion of bagasse ash blended high performance concrete using analytical hierarchy process (AHP). Comput. Concr. 23(6), 459–470 (2019)

    Google Scholar 

  11. Karim, R., Karmaker, C.L.: Machine selection by AHP and TOPSIS methods. Am. J. Ind. Eng. 4(1), 7–13 (2016)

    Google Scholar 

  12. Venkata Rao, R.: Evaluating flexible manufacturing systems using a combined multiple attribute decision making method. Int. J. Prod. Res. 46(7), 1975–1989 (2008)

    Article  Google Scholar 

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Correspondence to S. Praveenkumar .

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Praveenkumar, S., Sankarasubramanian, G., Sindhu, S. (2020). Selecting Optimized Mix Proportion of Bagasse Ash Blended Cement Mortar Using Analytic Hierarchy Process (AHP). In: Dutta, D., Mahanty, B. (eds) Numerical Optimization in Engineering and Sciences. Advances in Intelligent Systems and Computing, vol 979. Springer, Singapore. https://doi.org/10.1007/978-981-15-3215-3_6

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  • DOI: https://doi.org/10.1007/978-981-15-3215-3_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3214-6

  • Online ISBN: 978-981-15-3215-3

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