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IJSTR >> Volume 10 - Issue 10, October 2021 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Model For Predicting Compressive Strength Of Interlocking Tiles Using Recycled Plastic Bottles

[Full Text]



Lewechi Anyaogu, Chinenye Elizabeth Okere, Nnanna Obiabuchi Martin



Compressive strength, Granite dust, Interlocking tile, Osadebe’s models, Polyethylene terephthalate, Sand



This work presents the model for predicting the compressive strength of interlocking tiles made with recycled plastic bottles. The use of recycled plastic bottles in making interlocking tile is an approach to eliminating plastic from the environment. The interlocking tiles were produced with sand, granite dust, and recycled plastic bottles. Scheffe’s and Osadebe’s models are statistical methods used in this study to design mix and formulate the model. The melting of the plastic mixed with sand and granite dust was regulated at an average temperature of 194.41°c. The hot mixtures were cast and air-cured for 28days. A total of thirty-six (36) interlocking tiles were cast, comprising of three cubes for each mix-ratio of a total of twelve (12) mix ratios. The first six (6) mix ratios were used to determine the coefficients of the response function, while the other six were used to validate the response function. The highest and lowest experimental compressive strengths recorded in this work are 22.00 Nmm-2 and 20.33Nmm-2 respectively at observation points. The maximum and least experimental compressive strengths recorded in this work are 24.33 Nmm-2 and 21.00Nmm-2 respectively at control points. The results from the response function were compared favorably with the experimental results. The response functions were tested with the statistical student’s t-test and found to be adequate at a 95% confidence level. With the response function developed in this work; any desired compressive strength of interlocking tiles made from the mixture of sand, granite dust, and recycled plastic bottle can be predicted from known mix proportions and vice versa.



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