Hybrid artificial neural network with biogeography-based optimization to assess the role of cement fineness on ecological footprint and mechanical properties of cement mortar expose to freezing/thawing-Reference-Cited by-同舟云学术

Hybrid artificial neural network with biogeography-based optimization to assess the role of cement fineness on ecological footprint and mechanical properties of cement mortar expose to freezing/thawing

Published:2021-10 Issue: Volume:304 Page:124589
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Korouzhdeh Tahereh,Eskandari-Naddaf Hamid,Kazemi Ramin

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference112 articles.

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4. Effects of the fineness of limestone powder and cement on the hydration and strength development of PLC concrete;Moon;Constr. Build. Mater.,2017

5. Influences of mixture composition on properties and freeze–thaw resistance of RCC;Hazaree;Constr. Build. Mater.,2011

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