Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques

• Main Authors: Nafees, A., Amin, M.N., Khan, K., Nazir, K., Ali, M., Javed, M.F., Aslam, F., Musarat, M.A., Vatin, N.I.
• Format: Article
• Published: MDPI 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121777152&doi=10.3390%2fpolym14010030&partnerID=40&md5=fae3e5baf048a00796dc0cc539b3c51f; http://eprints.utp.edu.my/28909/
• Institution: Universiti Teknologi Petronas

Silica fume (SF) is a frequently used mineral admixture in producing sustainable concrete in the construction sector. Incorporating SF as a partial substitution of cement in concrete has ob-vious advantages, including reduced CO2 emission, cost-effective concrete, enhanced durability, and mechanical...