Mathematical Model to Monitor Application Of Silica Fumes, Iron Slag And Rice Husk Ash on Compressive Strength For Partial Replacement of Cement Volume 3 - Issue 4

Eluozo SN* and Amanamba EC

• Department of Civil Engineering, College of Engineering, Gregory University Uturu Abia State, Nigeria

Received: December 30, 2020;   Published: January 26, 2021

*Corresponding author: Eluozo SN, Department of Civil Engineering, College of Engineering, Gregory University Uturu Abia State, Nigeria

DOI: 10.32474/MAMS.2021.03.000169

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Abstract

This paper monitors the variation increase of compressive on partially replacement of copper slag with fine aggregate, the study observed the fluctuation of growth rate of the compressive strength; these were examined to generates the behaviour of the material intermesh of its reaction on strength development, the variation is from the level of compaction, placement and segregation during concrete transport and its placement, including bleeding of concrete that were thoroughly examined. The parameters developed influence based on the fluctuation from the stated parameters that reflects on the growth rates of compressive strength, the derived modeling and simulation monitor the behaviour of concrete properties in different water cement ratios and curing age, the dosage of the addictives were monitor on the simulation, the highest compressive strength were generate at forty percent duration time of twenty eight days of curing, this implies that the replacement of the fine aggregate with copper slag at forty percent developed the optimum compressive strength.

The study applied modeling and simulation to monitor other concrete properties that were not considered in the experimental process, this were to determine their variations rate of influence on the compressive strength, the variation of water cement ratios were monitored, the behaviour of the effect on water cement were evaluated, the influence from porosity were also monitor, the study observed reduction of porosity that reflected increase in compressive strength, the simulation subjected the predictive values to validation with experimental values, this was in agreement with the experimental values by Satyanarayana and Saikiran 2019 [1], further study were carried on the existing study whereby the curing age were monitor within 3, 7. and 28days, but 14 days of curing were integrated to monitor the compressive strength of curing age, the generated predictive values were also validated with experimental data, this implies that the develop predictive model can be applied to monitor the growth rate of compressive strength numerically and analytically, this concepts has generated the required results making the model imperative to predict compressive strength at any curing age.

Keywords: Modeling; compressive strength; mechanical properties; fine aggregate; copper slag

Abstract| Introduction| Theoretical Background| Materials and Method| Results and Discussion| Conclusion| References|