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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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Indexing

Abstract

PREDICTION OF MECHANICAL PROPERTIES OF WASTE COPPER WIRE FIBER REINFORCED CONCRETE USING RESPONSE SURFACE METHODOLOGY

Abubakar A.*, Mohammed A., Duna S. and Umar S. Y.

ABSTRACT

This study predicts mechanical properties of waste copper wire fiber reinforced concrete (WCWFRC) using response surface methodology. Plain concrete shows little resistance to tensile loads. Micro cracks due to drying shrinkage propagate easily to macro cracks under applied loads and cause brittle failure. This deficiency can be improved by addition of copper wire fibre. Copper is a durable material that functions throughout its lifetime without significant loss in performance. The experiment was designed using Face-centered central composite design of response surface method. The fibre volume was varied from 0.5 to 1.5% while the curing period was varied from 7 to 28 days. The design consists of two design factors (fiber volume and curing period) at three levels (coded as -1, 0, +1) each. The mix was designed for grade M-25 concrete and tested for mechanical properties. The results show incease in mechanical properties of the concrete with increase in fibre and curing period. The F-values for the models are greater than the critical F-value (3.59) which imply that the factors have significant effect in the models at 5% level of significance. The P-values for the models are less than P? (0.05) which imply that the factors are significant in predicting the response. The models have R2 values greater than 85%, adjusted R2 values greater than 82% and predicted R2 values greater than 73%. These indicate that the models have good predictive ability. Predicted values of the responses are very close to the experimental values which show the models are adequate.

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