Prediction of compressive and flexural strengths of a modified zeolite additive mortar using artificial neural network-Reference-Cited by-同舟云学术

Prediction of compressive and flexural strengths of a modified zeolite additive mortar using artificial neural network

Published:2018-10 Issue: Volume:187 Page:1232-1241
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Onyari E.K.,Ikotun B.D.

Publisher

Elsevier BV

Subject

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

Reference23 articles.

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4. Influence of silica fume content on the quality of bond conditions in high-performance concrete specimens archives of Civil and Mechanical;Piotr;Engineering,2017

5. Durability performance of sustainable structural concrete: effect of coarse crushed concrete aggregate on microstructure and water ingress;Wayne;Constr. Build. Mater.,2017

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