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Optimization of Mixing Parameters in Nanosilica Toughened Cement Mortar Using Taguchi-Grey Relational Analysis

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Abstract

In this research, multi response Taguchi-grey relational approach was employed to optimize the mixing parameters in cement mortar preparation. The main aim of this present investigation is to find the optimal input variables like surface-modified nanosilica, water to cement ratio and plasticizer to achieve cement mortar with high compressive strength and low water absorption percentage. The surface-modification of nano-silica was done via aqueous solution method using 3-Aminopropyltrimethoxysilane. When the input variables are more than one Taguchi-grey relational approach is a best method since it may give difference set of optimum level for each response. It is observed that the addition of surface modified nano-silica in cement mortar influenced high compressive strength with lower water absorption percentage. According to analysis surface-modified nanosilica of 2 wt%, water to cement ratio of 0.5 and plasticizer of 1 wt% (A3B2C3) is found to be producing highest compression strength of 53.86 MPa and lower water absorption percentage of 3.32. The SEM morphological images revealed uniform dispersion of nano-silica particle in void content of cement mortar.

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Authors and Affiliations

  1. Department of Civil Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, 600 119, India

    P. Vasanthi

  2. Department of Civil Engineering, SRM Institute of Science and Technology, Chennai, Tamilnadu, 603 203, India

    S. Senthil Selvan

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  1. P. Vasanthi
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  2. S. Senthil Selvan
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Correspondence to P. Vasanthi.

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Vasanthi, P., Selvan, S.S. Optimization of Mixing Parameters in Nanosilica Toughened Cement Mortar Using Taguchi-Grey Relational Analysis. Silicon 14, 127–133 (2022). https://doi.org/10.1007/s12633-020-00791-w

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  • DOI: https://doi.org/10.1007/s12633-020-00791-w

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