Modeling an artificial neural network to estimate cement consumption in clayey waste-cement mixtures based on curing temperature, mechanical strength, and resilient modulus

ABSTRACT: Seeking to address large-scale issues faced by many countries today, such as excessive energy consumption, global warming, and uncontrolled mining activities, this research repurposes clayey mining and excavation waste to design soil-cement mixtures for road construction. A total of 2026 d...

Full description

Autores:

Hernández García, Liliana Carolina
Colorado Lopera, Henry Alonso
Vidal Valencia, Julián

Tipo de recurso:

Article of investigation

Fecha de publicación:

2025

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

eng

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/45130

Acceso en línea:

https://hdl.handle.net/10495/45130

Palabra clave:

Inteligencia artificial
Artificial Intelligence
Residuos
Waste Products
Redes neurales (computadores)
Neural networks (Computer science)
Cemento
Cement
Estabilización de suelos
Soil stabilization
Clay soil
Clay waste
https://id.nlm.nih.gov/mesh/D001185
https://id.nlm.nih.gov/mesh/D014866

Rights

openAccess

License

https://creativecommons.org/licenses/by-nc-nd/4.0/