Machine Learning-Enhanced Analysis of Small-Strain Hardening Soil Model Parameters for Shallow Tunnels in Weak Soil

Machine Learning-Enhanced Analysis of Small-Strain Hardening Soil Model Parameters for Shallow Tunnels in Weak Soil

Accurate prediction of tunneling-induced settlements in shallow tunnels in weak soil is challenging, as advanced constitutive models, such as the small-strain hardening soil model (SS-HSM) require several input parameters. In this study, a case study was used as a benchmark to investigate the sensit...

Full description

Saved in:
Bibliographic Details
Main Authors: Tzuri Eilat, Alison McQuillan, Amichai Mitelman
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Geotechnics
Subjects:
hardening soil model
shallow tunnels
machine learning
tunneling-induced settlements
finite-element modelling
geotechnical engineering
Online Access:https://www.mdpi.com/2673-7094/5/2/26
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2673-7094/5/2/26

Similar Items