Appraisal of long-term effects of fly ash and silica fume on compressive strength of concrete by neural networks

This study focuses on studying the effects of fly ash and silica fume replacement content on the strength of concrete cured for a long-term period of time by neural networks (NNs). Applicability of NNs to evaluate the effects of FA and SF for a long period of time is investigated. The investigations...

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Bibliographic Details

Published in:	Construction & building materials Vol. 21; no. 2; pp. 384 - 394
Main Authors:	Pala, Murat, Özbay, Erdoğan, Öztaş, Ahmet, Yuce, M. Ishak
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2007 Elsevier B.V
Subjects:	Compressive strength Fly ash Long-term cured concrete Mechanical properties Neural networks Neurons Scaled conjugate gradient algorithm Silica fume Fly ash Compressive strength Scaled conjugate gradient algorithm Long-term cured concrete Neural networks Silica fume
ISSN:	0950-0618, 1879-0526
Online Access:	Get full text
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