Experimental and deep neural network approaches on strength evaluation of ternary blended concrete-Reference-Cited by-同舟云学术

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Experimental and deep neural network approaches on strength evaluation of ternary blended concrete

Published:2024-08 Issue: Volume:439 Page:137276
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Oyebisi Solomon^ORCID,Alomayri Thamer

Publisher

Elsevier BV

Reference98 articles.

1. Concrete made with partially substitution corn cob ash: a review;Ahmad;Case Stud. Constr. Mater.,2023

2. International Atomic Energy Agency, Radiation Protection and Safety of Radiation Sources: International Basic Safety Standards, Vienna, 2014. 〈https://www-pub.iaea.org/MTCD/publications/PDF/Pub1578_web-57265295.pdf〉 (accessed 20 October 2022).

3. Geopolymer concrete as sustainable material: a state of the art review;Farooq;Constr. Build. Mater.,2021

4. Ultra-high-performance concrete properties containing rice straw ash and nano eggshell powder;Hakeem;Case Stud. Constr. Mater.,2023

5. Effect of modified nano-titanium and fly ash on ultra-high-performance concrete properties;Ghanim;Struct. Concr.,2023

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