Predicting the strength of a plastic waste reinforced clay-sand soil mixture using BPNN approach

Galal Senussi; Thikra K. Abdullah; Sundus S. Omar

dc.contributor.author	Galal Senussi
dc.contributor.author	Thikra K. Abdullah
dc.contributor.author	Sundus S. Omar
dc.date.accessioned	2024-11-23T18:13:20Z
dc.date.available	2024-11-23T18:13:20Z
dc.date.issued	2024-10-01
dc.identifier.uri	http://dspace-su.server.ly:8080/xmlui/handle/123456789/718
dc.description.abstract	The study aimed to improve soil engineering properties by incorporating waste plastic bottle strips into the soil to enhance its strength. Plastic sheets of varying sizes an percentage were used, and a Back Propagation Neural Network (BPNN) was employed to predict unconfined compressive force. The model accuracy was confirmed by calculating mean absolute errors (MAE) of 0.00336, 0.0491, 0.0344, and 0.0461, indicating its reliability.	en_US
dc.language.iso	other	en_US
dc.publisher	Department of Mechanical Engineering, Faculty Engineering, Omar Al Mukhtar University, Libya 2Department of CivilEngineering, Faculty Engineering, Omar Al Mukhtar University, Libya 3Department of Civil Engineering, Faculty Engineering, TobrukUniversity, Libya	en_US
dc.relation.ispartofseries	العدد 2;43-54
dc.title	Predicting the strength of a plastic waste reinforced clay-sand soil mixture using BPNN approach	en_US
dc.type	Article	en_US