A Predictive Mathematical Model for Water Absorption of Sawdust Ash - Sand Concrete

Abstract

Saw Dust Ash (SDA) is an industrial waste that has been used by many researchers in concrete to achieve economic and environmental sustainability. In this study, 5% of sand was replaced with SDA to produce concrete with 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. Additional fifteen mix ratios were generated from the initial fifteen, for verification and testing. Concrete cubes of 150mmX150mmX150mm were formed using the thirty concrete mix ratios generated, and soaked in water for 24hours. The water absorptions of cubes from each mix ratio were determined with the standard procedure. The results of the first fifteen water absorption values were used for the calibration of the model constant coefficients, while those from the second fifteen were used for the model verification using Scheffe's simplex lattice design. A mathematical regression model was formulated from the results, with which the water absorptions were predicted. The model was then subjected to a two-tailed t-test with 5% significance, which ascertained the model to be adequate and fit with an R2 value of 0.8244. The study also revealed that SDA can replace 5% of sand and promote environmental sustainability without significantly changing the water absorption.

Evaluation of the contact angle and wettability of hydrophobised lightweight concrete with sawdust

“…This is due to the porous structure of PKS. Oba and Amadi [16] in their work created a mathematical model for water absorption of Sawdust Ash (SDA) -Sand Concrete. They replaced the fine aggregate with 5% SDA in concrete and thus achieved a concrete water absorption rate of 3.734% to 9.568%.…”

“…To reduce the environmental impact, developed countries have now created opportunities for using wood waste in concrete structures. Besides sawdust in the production of building materials, the following waste materials from the wood industry is also used -wood shavings [7], wood fibre [8], wood ash [9][10][11], chips [12][13][14], cork [15], sawdust ash [16,17].…”

ANN modelling approach for predicting SCC properties - Research considering Algerian experience. Part III. Effect of mineral admixtures

“…Based on Scheffe's simplex lattice design technique, many researches were carried out the development of mathematical models in order to predict and provide a better description in the field of concrete materials (Ubachukwu and Okafor, 2020;Okere and Sule, 2019;Arimanwa et al, 2019). This kind of space-filling design is a symmetrical arrangement of points within the experimental region in a suitable polynomial equation representing the response surface in triangular contour plot (Oba and Amadi, 2020).…”