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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Veröffentlicht in:	Construction & building materials Jg. 21; H. 2; S. 384 - 394
Hauptverfasser:	Pala, Murat, Özbay, Erdoğan, Öztaş, Ahmet, Yuce, M. Ishak
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2007 Elsevier B.V
Schlagworte:	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-Zugang:	Volltext
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