Machine Learning Models for Predicting Permanent Deformation in Railway Tracks
Artikel i vetenskaplig tidskrift, 2024
Infrastructure
, prediction,
, validation
Permanent deformation in railways
Machine learning algorithms
, Life-cycle management
Författare
Ana Ramos
CONSTRUCT-LESE Faculty of Engineering of the University of Porto
António Gomes Correia
ISISE and Department of Civil Engineering of University of Minho
Kourosh Nasrollahi
Chalmers, Mekanik och maritima vetenskaper, Dynamik
Jens Nielsen
Chalmers, Mekanik och maritima vetenskaper, Dynamik
Rui Calçada
CONSTRUCT-LESE Faculty of Engineering of the University of Porto
Transportation Geotechnics
22143912 (eISSN)
Vol. 47 2024Driving research and innovation to push Europe's rail system forward (IN2TRACK3)
Trafikverket (2021/19114), 2021-01-01 -- 2023-12-31.
Europeiska kommissionen (EU) (EC/H2020/101012456), 2021-01-01 -- 2023-12-31.
In2Track-2 (CHARMEC EU19)
Trafikverket, 2018-11-01 -- 2021-10-31.
Europeiska kommissionen (EU) (EC/H2020/826255), 2018-11-01 -- 2021-10-31.
Styrkeområden
Transport
Ämneskategorier
Teknisk mekanik
Infrastrukturteknik
DOI
10.1016/j.trgeo.2024.101289