Forecasting compressive strength and electrical resistivity of graphite based nano-composites using novel artificial intelligence techniques

To produce highly effective electrically conductive cementitious composites and advance non-destructive structural-health monitoring techniques, graphite-based nanomaterials (GrNs) are viable conductive fillers. A comprehensive database was created for CS and ER pertinent to GrNCC’s experimental stu...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Hisham Alabduljabbar, Muhammad Nasir Amin, Sayed M. Eldin, Muhammad Faisal Javed, Rayed Alyousef, Abdeliazim Mustafa Mohamed
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Elsevier 2023-07-01
Цуврал:	Case Studies in Construction Materials
Нөхцлүүд:	Graphene Nanoparticles Compressive strength Electrical resistivity Machine learning (ML)
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S221450952300027X
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!