Compressive Strength Model Prediction of Zero Cement Geopolymer Concrete Using Multiple Regression Analysis

Setiawan, Agustinus Agus and Soegiarso, Roesdiman and Hardjasaputra, Harianto and Rachmansyah, Rachmansyah (2022) Compressive Strength Model Prediction of Zero Cement Geopolymer Concrete Using Multiple Regression Analysis. Compressive Strength Model Prediction. pp. 48-53.

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Abstract

Concrete technology is a fast-growing science. In line with the issue of environmental sustainability, knowledge of concrete technology is directed towards finding cement replacement materials. This is understandable because the cement production process is one of the largest contributors to CO2 gas in the world. The latest development of concrete technology is the development of non-cement geopolymer concrete. In this non-cement geopolymer concrete, the position of cement in the concrete mixture is completely replaced by fly-ash material by adding an activator which is a chemical mixture of NaOH and Na2SiO3. However, the geopolymer concrete mix design method is still not available. This study aims to build a mathematical model of the relationship between the compressive strength of non-cement geopolymer concrete and its constituent materials, namely fly-ash, coarse aggregate, fine aggregate, water, NaOh, and Na2SiO3. The mathematical model obtained was formed using multiple regression analysis. The mathematical model proposed in this study is Y = 24.6063 + 0.0154X1 – 0.0006X2 + 0.0093X3 + 0.0775X4 – 0.0254X5 + 0.0158X6 where Y is compressive strength of concrete, and X1 until X6 respectively are the weight of fly ash, coarse aggregate, fine aggregate, NaOH, Na2SiO3, and water.

Item Type: Artikel Jurnal/Prosiding
Subjects: A General Works > AC Collections. Series. Collected works
Divisions: Universitas Pembangunan Jaya
Depositing User: Alexandro Andika
Date Deposited: 23 May 2023 02:11
Last Modified: 23 May 2023 02:11
URI: http://eprints.upj.ac.id/id/eprint/5283

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