Formulation of estimation models for the compressive strength of concrete mixed with nanosilica and carbon nanotubes

Author:

Nazar Sohaib,Yang Jian,Amin Muhammad Nasir,Khan Kaffayatullah,Javed Mohammad FaisalORCID,Althoey Fadi

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Materials Science (miscellaneous),Building and Construction,Civil and Structural Engineering,Architecture

Reference76 articles.

1. Effect of nano-silica in concrete; a review;A;Construct. Build. Mater.,2021

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3. Surrogate models to predict the long-term compressive strength of cement-based mortar modified with fly ash;Abdalla;Arch. Comput. Methods Eng.,2022

4. Testing and modeling the young age compressive strength for high workability concrete modified with PCE polymers;Abdalla;Results in Materials,2019

5. Compressive strength prediction via gene expression programming (GEP) and artificial neural network (ANN) for concrete containing RCA;Ahmad;Buildings,2021

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