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

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

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...

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Bibliographic Details
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/
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Institution: Universiti Teknologi Petronas

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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/

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