Prediction of the compressive strength of self‐compacting concrete using artificial neural networks based on rheological parameters

Self‐compacting concrete (SCC) is a fluid concrete designed to flow freely through reinforcements in order to completely fill the formwork. The appearance of this type of concrete increases the need to precisely characterize its compressive strength as a function of their behavior during flow. This...

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Veröffentlicht in:	Structural concrete : journal of the FIB Jg. 23; H. 6; S. 3864 - 3876
Hauptverfasser:	Asri, Yousef, Benaicha, Mouhcine, Zaher, Mounir, Hafidi Alaoui, Adil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Weinheim WILEY‐VCH Verlag GmbH & Co. KGaA 01.12.2022 Wiley Subscription Services, Inc
Schlagworte:	Artificial neural networks Compressive strength Formwork Mathematical models Optimization Parameters Pearson's correlation rheological parameters Rheological properties Self-compacting concrete Yield stress
ISSN:	1464-4177, 1751-7648
Online-Zugang:	Volltext
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