Geotechnical evaluation of embankment stability in seismic zones using Monte Carlo and subset simulations within an LRFD framework aided by machine learning

Geotechnical evaluation of embankment stability in seismic zones using Monte Carlo and subset simulations within an LRFD framework aided by machine learning

This study highlights the importance of thorough risk evaluations to ensure resilient railway and roadway embankments. By integrating Monte Carlo simulation (MCS) and subset simulation (SS) methodologies within the LRFD framework, this study examines the stability and risk assessments of a typical s...

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Bibliographic Details
Main Authors: Furquan Ahmad, Pramod Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, Pijush Samui
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
LRFD
Subset simulation
Machine learning
Monte Carlo simulation
Embankments
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025023928
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