Implementation of deep neural networks and statistical methods to predict the resilient modulus of soils

The Resilient Modulus (Mr) is perhaps the most relevant and widely used parameter to characterise the soil behaviour under repetitive loading for pavement applications. Accordingly, it is a crucial parameter controlling the mechanistic-empirical pavement design. Nonetheless, determining the Mr by la...

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Autores:
Polo Mendoza, Rodrigo
Duque, Jose
Mašín, David
Turbay, Emilio
Acosta, Carlos
Tipo de recurso:
Article of investigation
Fecha de publicación:
2023
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/14276
Acceso en línea:
https://hdl.handle.net/11323/14276
https://repositorio.cuc.edu.co/
Palabra clave:
Deep neural networks
Resilient modulus
US soils
Statistical methods
Rights
closedAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)