Development of regressional modes for predicting some mechanical properties of sand-quarry dust concrete
Date
2016-08
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Federal University of Technology, Owerri
Abstract
This research presents regressional models for predicting the compressive strength, density and slump of sand-quarry dust concrete. The research was prompted by the need to utilize quarry dust, which is a by-product of the quarry industry and presently constitutes environmental menace. The tests conducted included sieve analysis, specific gravity, water absorption, slump, compressive strength and density of the quarry dust concrete. Five component mathematical models based on Scheffe’s simplex method were developed to predict the compressive strength, slump and density of the sand quarry dust concrete. The five components are: Cement, water, sand, quarry dust and crushed rock (chippings). Twenty two different mix ratios were used and each mix ratio contained different percentage replacement of sand with quarry dust. Three samples of each mix proportion were made, giving a total of sixty-six samples. The average of the compressive test results of the three samples of each mix ratio represented the compressive strength of the mix ratio. The average compressive strengths obtained ranged from 30.8N/mm 2 (corresponding to mix ratio of 1:0.6:2.7:0:3.5) to 44.7N/mm 2 (corresponding to mix ratio 1:0.5:2:0.4:3.2). The mix ratio refers to the ratio of cement: water:sand: quarry dust:granite chippings by weight. The average density ranged from 2,390.1Kg/m3 to 2,696.3Kg/m3 while the average slump ranged from 9.8mm to 20.8mm.The results from the modal equations using responses from the experimental control points were subjected to statistical analysis including T and F tests and found reliable. The mix with 9.1% quarry dust replacement ofsand gave the highest compressive strength of 44.7N/mm 2 while the mix with 0% quarry dust gave the minimum strength of 30.8N/mm 2
.
Description
This Thesis is the award of Master of Engineering (M.Eng) in Civil Engineering (Structures)I
Keywords
Mathematical models, Scheffe’s simplex method, sieve analysis, specific gravity, water absorption, compressive strength, slump, density, percentage replacement., Department of Civil Engineering
Citation
Ezugu, V. C. (2016), Development of regressional modes for predicting some mechanical properties of sand-quarry dust concrete [Unpublished Masters Thesis] .Federal University of Technology, Owerri, Nigeria