Use of artificial neural networks to predict concrete compression strength / Uso de redes neurais artificiais na predição da resistência à compressão do concreto

• Autor(a) principal: Tavares, Dennis Santos
• Data de Publicação: 2020
• Outros Autores: Ribeiro, David Augusto, Junior, Tadayuki Yanagi, Lacerda, Wilian Soares, Tiradentes, Eduardo Tadeu, Teixeira, Robson Guilherme, Garcia, Hudson Venâncio Silva
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Veras
• DOI: 10.34117/bjdv6n7-050
• Texto Completo: https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/12572
• topic: Concrete; Compressive strength; Artificial neural networks.

Concrete is one of the most widely used building materials, being composed of different components with different properties, which makes the task of dosing and strength determination complex. Artificial Neural Networks is a tool that has the ability to generalize and learn from previous experiences that are provided by a previously built database. This work aims the implementation of RNA in determining the compressive strength of concrete of various ages. The input data is the material quantities and the output is the compressive strength. The results obtained are satisfactory and promising from the point of view of civil engineering.