A Scheffe’s Predictive Model for Modulus of Elasticity of Sawdust Ash - Sand Concrete

International Journal of Engineering and Management Research

View Publication Info
 
 
Field Value
 
Title A Scheffe’s Predictive Model for Modulus of Elasticity of Sawdust Ash - Sand Concrete
 
Creator Kenneth Miebaka Oba
Onuegbu Okoronkwo Ugwu
 
Subject Saw Dust Ash
Scheffe’s Simplex Lattice
Sustainability
Modulus of Elasticity of Concrete
 
Description The industrial waste, Saw Dust Ash (SDA) has been explored by several concrete related researches to achieve environmental and economic sustainability. In this study, 5% of sand was replaced with SDA to produce concrete with five different mix ratios. Scheffe’s simplex theory was used for five mix ratios in a {5,2} experimental design which resulted in additional ten mix ratios. For purposes of verification and testing, additional fifteen mix ratios were generated from the initial fifteen. Concrete cubes of 150mmX150mmX150mm were formed using the thirty concrete mix ratios generated, and cured in water for 28days. The compressive strengths of cubes from each mix ratio were determined. The static moduli of elasticity were also determined with a mathematical relationship. The results of the first fifteen static moduli of elasticity values were used for the calibration of the model constant coefficients, while those from the second fifteen were used for the model verification and testing using Scheffe’s simplex lattice design. A mathematical regression model was formulated from the results, with which the static moduli of elasticity were predicted. The model was then subjected to a two-tailed t-test with 5% significance, which confirms the model adequate and fit with an R2 of 0.8536. The study also revealed that SDA can be used to replace 5% of sand and promote environmental sustainability without significantly decreasing the static modulus of elasticity.
 
Publisher Vandana Publications
 
Date 2021-02-27
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/667
10.31033/ijemr.11.1.2
 
Source International Journal of Engineering and Management Research; Vol. 11 No. 1 (2021): February Issue; 9-17
2250-0758
2394-6962
 
Language eng
 
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/667/790
 
Rights Copyright (c) 2021 International Journal of Engineering and Management Research
https://creativecommons.org/licenses/by-nc-nd/4.0
 

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