VALIDATION OF FERET REGRESSION MODEL FOR FLY ASH BASED GEOPOLYMER CONCRETE

  • Peshkawt Yassen DOLAMARY PhD. student in Hasan Kalyoncu University
  • Dilshad JAF Assistance Prof. Dr. Salahaddin University, Civil Engineering Department, Erbil, Iraq
  • Mohamed Moafak ARBILI Assistance Lecturer, Erbil polytechnic university, Choman technical institute, Erbil, Iraq
  • Mehmet KARPUZCU Prof. Dr. Hasan Kalyoncu University, Civil Engineering Department, Gaziantep, Turkey
Keywords: Statistical Analysis, Geopolymer Concrete, Feret Model, SPSS

Abstract

This paper dealt with the statistical analysis to find the best fit equation predicts compressive strength of geopolymer concrete from mixture proportion, where the compressive strength is one of the desired and required properties of hardened concrete. The main concept of finding the equation is derived from the Feret Model, all the factors that effects on the compressive strength of geopolymer concrete and related to the ingredient materials are listed. A regression analysis has been done to new model to find the empirical constant of the best fit equation with a highest coefficient of determination 0.943 and lowest loss function expressed by residual mean squares. Statistical analysis showed that new model is applicable to geopolymer concrete. The equation development was validated with the experimental results.

Published
2018-08-20
How to Cite
DOLAMARY, P., JAF, D., ARBILI, M., & KARPUZCU, M. (2018). VALIDATION OF FERET REGRESSION MODEL FOR FLY ASH BASED GEOPOLYMER CONCRETE. Polytechnic Journal, 8(3), 173-189. https://doi.org/10.25156/ptj.2018.8.3.310
Section
Articles