Proceedings of the 4th International Conference on Sustainable Innovation 2020–Technology, Engineering and Agriculture (ICoSITEA 2020)

Prediction of Flowability, Compressive and Flexural Strength on Self-Compacting Concrete Using Fuzzy Logic

Authors
Hakas Prayuda, Fanny Monika, Fadillawaty Saleh, Pradipta Kumara Prabandaru, Jheval Senna Emerald, Nur Ali Maulida
Corresponding Author
Fanny Monika
Available Online 10 February 2021.
DOI
10.2991/aer.k.210204.019How to use a DOI?
Keywords
Fuzzy Logic, Self-Compacting Concrete, Flowability, Compressive Strength, Flexural Strength
Abstract

This research discusses the prediction of flowability value, pressure strength and flexural strength on self-compacting concrete using fuzzy logic. Self–compacting concrete is one of the concretes that can compact itself without the need for a vibrator and compactor during the casting process. The flowability level on self-compacting concrete is very important to guarantee that segregation does not occur, and the concrete can flow. Data from laboratory testing results are primary data collected from previous researchers using various types of mix designs. Data input used is in the form of each constituent material such as cement, sand, water, gravel to additives. Through the results of this study, the predicted value of fresh properties is slump flow, T50, V-Funnel, and L-Box. While the other value obtained is the hardened properties of self-compacting concrete in compressive strength and flexural strength when the concrete is 28 days old. Each test has an error value, which varies but not more than 10%. It can be concluded that fuzzy logic can predict the flowability value, compressive strength, and flexural strength on self-compacting concrete.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th International Conference on Sustainable Innovation 2020–Technology, Engineering and Agriculture (ICoSITEA 2020)
Series
Advances in Engineering Research
Publication Date
10 February 2021
ISBN
978-94-6239-334-9
ISSN
2352-5401
DOI
10.2991/aer.k.210204.019How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hakas Prayuda
AU  - Fanny Monika
AU  - Fadillawaty Saleh
AU  - Pradipta Kumara Prabandaru
AU  - Jheval Senna Emerald
AU  - Nur Ali Maulida
PY  - 2021
DA  - 2021/02/10
TI  - Prediction of Flowability, Compressive and Flexural Strength on Self-Compacting Concrete Using Fuzzy Logic
BT  - Proceedings of the 4th International Conference on Sustainable Innovation 2020–Technology, Engineering and Agriculture (ICoSITEA 2020)
PB  - Atlantis Press
SP  - 89
EP  - 97
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.210204.019
DO  - 10.2991/aer.k.210204.019
ID  - Prayuda2021
ER  -