Mater Sci Eng J | Volume 2, Issue 1 | Research Article | Open Access

Model Prediction on Split Tensile Strength of Concrete from Course Aggregate and Granite Modified with Metakaolin Substance

Eluozo SN*

Department of Civil Engineering, Gregory University Uturu (GUU), Nigeria

*Correspondance to: Eluozo SN 

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Abstract

The purpose of this is to paper monitor the rate of split tensile on concrete modified with Metakaolin substance, the study try to detailed the behavior of the material on its rate of strength, linear trend were experienced in all the figures from the graphical representation to the optimum level, the study monitor the tensile strength obtained at different curing age, the research study has express the rate of tensile in these materials modified with Metakaolin content through it modeling techniques, the variation of percentage content of the substance were observed to influence the mix designed applied to determine the tensile strength of the concrete, the study has also observed the influenced from water cement ratio in the development of the derived model, numerical simulation were applied in the study to monitor the resistance to force of the material at every twenty four hours of curing. The study were able to generate tensile parameters based on the rate of mixed proportion influenced by concrete characteristic, this may not have been consider in experimental parameters that has also reflect its influence on the growth rate of tensile strength concrete. Numerical simulation was applied in the study, this express the growth rate of tensile strength at twenty four hours of curing, the study has developed model from non-homogeneous system that can monitor tensile strength of concrete made from coarse aggregate, granite, with Metakaolin substance as partial replacement of cement.

Keywords:

Model prediction split tensile; Concrete; Aggregate granite; Metakaolin

Citation:

Eluozo SN. Model Prediction on Split Tensile Strength of Concrete from Course Aggregate and Granite Modified with Metakaolin Substance. Mater Sci Eng J. 2019; 2(1): 1009..

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