Compressive Strength Prediction of Concrete Containing Used Cooking Oil Using Ann

3d8d13581898e639443-612 20231021031413177 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 10 30 2023 12 11 Compressive Strength Prediction of Concrete Containing Used Cooking Oil Using Ann PG Scholar, Department of Civil Engineering, JNTUA College of Engineering, Ananthapuramu, India. Dumpala Suneel Kumar https://orcid.org/0009-0002-7667-483X B. Ajitha https://orcid.org/0000-0003-4715-8131 Associate Professor, Department of Civil Engineering, JNTUA College of Engineering, Ananthapuramu, India. To mitigate the detrimental impacts of disposing of used cooking oil (UCO) into the environment, which adversely affects marine life, human health, and agricultural outputs, this research proposes a novel approach incorporating this waste material into the concrete industry as a chemical admixture. To investigate this, an initial experimental program is designed to examine how used cooking oil affects various fresh properties and compressive strength at 3, 7, and 28 days of age of concrete. Concrete batches of M40 grade are meticulously prepared with varying proportions (ranging from 0% to 2%) of used cooking oil. To predict strength characteristics, an Artificial Neural Network (ANN) is employed, consisting of three layers. The input layer comprising quantities of cement, coarse aggregate, fine aggregate, water content, super plasticizer, and the percentage of the chemical admixture (UCO), hidden layer for predicting the network system and the output layer providing the concrete's compressive strength. 10 30 2023 5 11 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true International Journal of Innovative Technology and Exploring Engineering (IJITEE) No, we did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. All authors have equal participation in this article. 10.35940/ijitee.K9727.10121123 https://www.ijitee.org/portfolio-item/K972710121123/