Statistical Analysis and Prediction Models for Performance of Re-mixed Concrete in Hot Climate Regions

H. Younis, Khaleel (2020) Statistical Analysis and Prediction Models for Performance of Re-mixed Concrete in Hot Climate Regions. International Journal of Emerging Trends in Engineering Research, 8 (8). pp. 4178-4184.

[img] Text (Research Article)
ijeter24882020.pdf - Published Version

Download (7MB)
Official URL: http://www.warse.org/IJETER/

Abstract

Prediction models are proposed to estimate features such as strength and physical properties of concrete mixes which are subjected to re-mixing process. The effects of re-mixing concrete mixes after adding additional water on the physical properties (final slump, dry unit weight and pulse velocity) and hardened concrete strength (compressive strength, tensile splitting strength, modulus of rupture, static and dynamic modulus of elasticity) of concrete at 7 and 28 days are studied. The empirical equations are proposed in terms of the fresh properties according to the characteristics of the mixture of concrete (ratio of water to cement, humidity, mix air content, mix temperature, proportions of mix and unit weight). It is concluded that the predicted values using the developed models fairly agree with the experimental results collected from previous studies.

Item Type: Article
Uncontrolled Keywords: Concrete mix proportions, Concrete strength, Fresh concrete, Hot weather, Statistical analysis.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Depositing User: ePrints deposit
Date Deposited: 01 Feb 2021 12:08
Last Modified: 01 Feb 2021 12:08
URI: http://eprints.tiu.edu.iq/id/eprint/346

Actions (login required)

View Item View Item