A comparative study on prediction models for strength properties of LWA concrete using artificial neural network

A comparative study on prediction models for strength properties of LWA concrete using artificial neural network

Abstract In this study, Artificial Neural Network (ANN) model is constructed to predict the compressive strength, split tensile strength and flexural strength of lightweight aggregate concrete made of sintered fly ash aggregate. An empirical relationship between the compressive strength, s...

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Autores principales: Nagarajan,Divyah, Rajagopal,Thenmozhi, Meyappan,Neelamegam
Lenguaje:English
Publicado: Escuela de Construcción Civil, Pontificia Universidad Católica de Chile 2020
Materias:
Sintered Fly ash aggregate
ANN
algorithm
variables
regression
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-915X2020000100103
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