Prediction of Splitting Tensile Strength of Self-Compacting Recycled Aggregate Concrete Using Novel Deep Learning Methods

The composition of self-compacting concrete (SCC) contains 60–70% coarse and fine aggregates, which are replaced by construction waste, such as recycled aggregates (RA). However, the complexity of its structure requires a time-consuming mixed design. Currently, many researchers are studying the pred...

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Autors principals:	Jesús de-Prado-Gil, Osama Zaid, Covadonga Palencia, Rebeca Martínez-García
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-06-01
Col·lecció:	Mathematics
Matèries:	artificial neural network self-compacting concrete recycled aggregates tensile strength Levenberg–Marquardt Bayesian regularization
Accés en línia:	https://www.mdpi.com/2227-7390/10/13/2245
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