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...

• Auteur principal: Machado Salazar, Alejandro (author)
• Autres auteurs: Ganchala Padilla, Enlil Santiago (author), Piñarcaja Rivadeneira, Jonathan Mauricio (author)
• Format: article
• Langue: spa
• Publié: 2024
• Sujets: 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)
• Accès en ligne: https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/5492