Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic

In this study, artificial neural networks and fuzzy logic models for predicting the 7, 28 and 90 days compressive strength of concretes containing high-lime and low-lime fly ashes have been developed. For purpose of constructing these models, 52 different mixes with 180 specimens were gathered from...

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Veröffentlicht in:	Computational materials science 2008, Vol.41 (3), p.305-311
Hauptverfasser:	TOPC, Ilker Bekir, SARIDEMIR, Mustafa
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial neural networks Buildings. Public works Compressive strength Concretes. Mortars. Grouts Exact sciences and technology Fly ash Fuzzy logic General (composition, classification, performance, standards, patents, etc.) Materials
Online-Zugang:	Volltext
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