ГЕОМЕХАНІЧНЕ МОДЕЛЮВАННЯ СТІЙКОСТІ ЗЕМЛЯНОГО ПОЛОТНА У ВОЛОГОМУ СЕРЕДОВИЩІ НА ОСНОВІ ГЛИБОКОГО НАВЧАННЯ

Yuliia Balashova; Andrii Balashov

doi:10.30890/2567-5273.2025-38-02-034

DEEP LEARNING-ENHANCED GEOMECHANICAL MODELLING OF ROADBED SUBGRADE STABILITY IN HUMID ENVIRONMENTS

Authors

Yuliia Balashova Ukrainian State University of Science and Technologies ESI «Prydniprovska State Academy of Civil Engineering and Architecture» https://orcid.org/0000-0002-2286-9263
Andrii Balashov Ukrainian State University of Science and Technologies ESI «Prydniprovska State Academy of Civil Engineering and Architecture»; University of Illinois Urbana-Champaign(UIUC)

DOI:

https://doi.org/10.30890/2567-5273.2025-38-02-034

Keywords:

deep learning, geomechanical modeling, subgrade stability, humid environments, soil mechanics, neural networks.

Abstract

The stability of roadbed subgrades in humid environments presents significant challenges due to complex soil behaviors under fluctuating hydrological conditions. Traditional geomechanical models often fail to capture the nonlinear interactions between soi

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Published

2025-04-30

How to Cite

Балашова, Ю., & Балашов, А. (2025). DEEP LEARNING-ENHANCED GEOMECHANICAL MODELLING OF ROADBED SUBGRADE STABILITY IN HUMID ENVIRONMENTS. Modern Engineering and Innovative Technologies, 2(38-02), 28–37. https://doi.org/10.30890/2567-5273.2025-38-02-034