Optimization of Compressive Strength of Concrete Containing Rubber Chips as Coarse Aggregate Based on Scheffe’s Model

International Journal of Civil Engineering
© 2020 by SSRG - IJCE Journal
Volume 7 Issue 7
Year of Publication : 2020
Authors : Engr. Iboroma Zab Akobo, Engr. Dr. Scott Bernard Akpila, Engr. Bamidele Okedeyi
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Engr. Iboroma Zab Akobo, Engr. Dr. Scott Bernard Akpila, Engr. Bamidele Okedeyi, "Optimization of Compressive Strength of Concrete Containing Rubber Chips as Coarse Aggregate Based on Scheffe’s Model," SSRG International Journal of Civil Engineering, vol. 7,  no. 7, pp. 93-110, 2020. Crossref, https://doi.org/10.14445/23488352/IJCE-V7I7P112

Abstract:

Rubber tires are produced excessively worldwide every year. It cannot be discharged off easily in the environment as its decomposition takes much time and also produces environmental pollution. In such a case the reuse of rubber would be a better choice. In other to reuse rubber wastes, it was added to the concrete as partial replacement of coarse aggregate, and its different properties like compressive strength were investigated and compared with ordinary concrete. The focus of this research is the development of a function for the optimization of the compressive strength of rubberized cement concrete based on simplex design. The response function was used to optimize the compressive strength of concrete made from water, cement sand, rubber chips, and granites. The results of the response function compared favorably with the corresponding experimental results and the predictions from the response function were tested for adequacy using the statistical student’s t-test and found to be adequate at a 95% confidence level. The optimum compressive strength of concrete at 28-days work was found to be 34.45 N/mm2. This strength corresponds to a mix ratio of 0.565:1:1.6:1.14:2.66 (i.e. water: cement: sand: rubber chips: granites). With the optimization function developed in this research, any desired compressive strength of rubberized/rubber chips cement concrete can be predicted from known mix proportions and vice versa.

Keywords:

Rubber chips, compressive strength, optimization, Scheffe’s model.

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