1 document found, page 1 of 1
Sort by
Issue Date
Machine learning models for predicting permanent deformation in railway tracks
Ramos, Ana; Correia, A. Gomes; Nasrollahi, Kourosh; Nielsen, Jens C. O.; Calçada, RuiTo enhance track geometry maintenance planning and reduce infrastructure costs, accurate predictions of accumulated permanent track deformation (settlement) caused by cyclic loading of ballast and subgrade is crucial for railway infrastructure managers. This paper proposes a novel approach to predict long-term settlement with reduced computational cost, based on an extensive parameter study using a hybrid metho...
Date: 2024
|
Origin: RepositóriUM - Universidade do Minho