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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Bibliografiska uppgifter

Huvudupphov:	Furquan Ahmad, Pramod Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, Pijush Samui
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2025-09-01
Serie:	Results in Engineering
Ämnen:	LRFD Subset simulation Machine learning Monte Carlo simulation Embankments
Länkar:	http://www.sciencedirect.com/science/article/pii/S2590123025023928
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