VALIDATION OF FERET REGRESSION MODEL FOR FLY ASH BASED GEOPOLYMER CONCRETE

Authors

Peshkawt Yaseen Saleh DOLAMARY, Ph.D.Student,HasanKalyoncuUniversity,CivilEngineeringDepartment,Gaziantep,Turkey
Dilshad Kakasor JAF, Assistance Prof. Dr. Salahaddin University, Civil Engineering Department, Erbil, Iraq
Mohamed Moafak ARBILI, AssistanceLecturer,Erbilpolytechnicuniversity,Chomantechnicalinstitute,Erbil,Iraq
Mehmet KARPUZCU Mr., Prof.Dr.HasanKalyoncuUniversity,CivilEngineeringDepartment,Gaziantep,Turkey

Corresponding Author

Peshkawt Yaseen Saleh DOLAMARY

Document Type

Research Article

Abstract

This paper dealt with the statistical analysis to find the best fit equation predicts compressive strength of geopolymer concrete (GPC) 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 the new model is applicable to geopolymer concrete. The developed equation was validated with the experimental results.

How to Cite This Article

Saleh DOLAMARY, Peshkawt Yaseen; JAF, Dilshad Kakasor; ARBILI, Mohamed Moafak; and KARPUZCU, Mehmet Mr. (2018) "VALIDATION OF FERET REGRESSION MODEL FOR FLY ASH BASED GEOPOLYMER CONCRETE," Polytechnic Journal: Vol. 8: Iss. 3, Article 11.
DOI: https://doi.org/10.25156/ptj.2018.8.3.310

Publication Date

11-1-2018