Mathematical Regression Models for Prediction of Durability Properties of Foamed Concrete with the Inclusion of Coir Fibre
N. Mohd Zamzani1, M. A. Othuman Mydin2, A. N. Abdul Ghani3
1N. Mohd Zamzani, School of Housing, Building and Planning, University Sains Malaysia, Penang, Malaysia.
2M. A. Othuman Mydin, School of Housing, Building and Planning, University Sains Malaysia, Penang, Malaysia.
3A. N. Abdul Ghani, School of Housing, Building and Planning, University Sains Malaysia, Penang, Malaysia.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 3353-3358 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9502088619/2019©BEIESP | DOI: 10.35940/ijeat.B5552.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A mathematical exploration using statistical techniques for the prediction of durability properties of foamed concrete with inclusion of coir fibre was performed for the foamed concrete data obtained from laboratory experimental work done in this research. The variable used in the prediction models was the fibre volume fractions. The multiple non-linear regression models yielded exceptional correlation coefficients for the prediction of water absorption, porosity, ultrasonic pulse velocity and depth of carbonation. The mathematical statistical procedures (regression models) that are proposed in this study provide tools of considerable value in the evaluation of durability properties of foamed concrete. The information derived from this procedure is valuable in filtering and refining design criteria and provisions related to foamed concrete with addition of coir fiber.
Keywords: The multiple non-linear regression models yielded exceptional correlation coefficients for the prediction of water absorption, porosity.