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