Use of Artificial Neural Networks (ANNs) for the prediction of the Compressive Strength and Modulus of Elasticity of Concrete

Use of Artificial Neural Networks (ANNs) for the prediction of the Compressive Strength and Modulus of Elasticity of Concrete

The present investigation indicates the design of an artificial intelligence model based on artificial neural networks (RNA) that allows predicting the Compressive Strength (f'c) and Modulus of elasticity (Ec) of concrete. The methodology was carried out in three stages: The Delta Stage, where...

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Hlavní autor: Machado Salazar, Alejandro (author)
Další autoři: Ganchala Padilla, Enlil Santiago (author), Piñarcaja Rivadeneira, Jonathan Mauricio (author)
Médium: article
Jazyk:spa
Vydáno: 2024
Témata:
redes neuronales artificiales (RNA)
neural fitting (nftool)
diseño de mezclas
resistencia a la compresión (f’c)
módulo de elasticidad (Ec)
Artificial Neural Networks (RNA)
Neural Fitting (nftool)
Blend Design
compression resistance (f'c)
modulus of elasticity (Ec)
On-line přístup:https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/5492
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https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/5492

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