Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms-Reference-Cited by-同舟云学术

Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms

Published:2022-11 Issue: Volume:21 Page:3777-3794
ISSN:2238-7854
Container-title:Journal of Materials Research and Technology
language:en
Short-container-title:Journal of Materials Research and Technology

Author:

Shafighfard Torkan,Bagherzadeh Faramarz^ORCID,Rizi Rana Abdollahi^ORCID,Yoo Doo-Yeol

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Metals and Alloys,Surfaces, Coatings and Films,Biomaterials,Ceramics and Composites

Reference90 articles.

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3. Experimental and numerical study of the additively manufactured carbon fibre reinforced polymers including fibre Bragg grating sensors;Shafighfard;Compos Struct,2022

4. High-temperature behaviour of basalt fibre reinforced concrete made with recycled aggregates from earthquake waste;Dong;J Build Eng,2022

5. A review of mechanical properties of fibre reinforced concrete at elevated temperatures;Wu;Cement Concr Res,2020

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