Artificial Neural Network-Based Model for Prediction of Frost Heave Behavior of Silty Soil Specimen

Artificial Neural Network-Based Model for Prediction of Frost Heave Behavior of Silty Soil Specimen

Frost heave action is a major issue in permafrost regions that can give rise to various geotechnical engineering problems. To analyze and predict this phenomenon at a specimen scale, this study conducted a fully coupled thermal-hydro-mechanical analysis and evaluated the frost heave behavior of froz...

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Detalles Bibliográficos
Autores principales: Seok Yoon, Dinh-Viet Le, Gyu-Hyun Go
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
finite element method
thermal-hydro-mechanical model
particle thermal conductivity
hydraulic conductivity
frost heave
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Acceso en línea:https://doaj.org/article/daf4bff7217d48ecafa573bdcba9914c
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https://doaj.org/article/daf4bff7217d48ecafa573bdcba9914c

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