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Cited article:

Machine Learning Models for Predicting Permanent Deformation in Railway Tracks

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Transportation Geotechnics 47 101289 (2024)
https://doi.org/10.1016/j.trgeo.2024.101289

Trends on Construction in the Digital Era

Ana Ramos, António Gomes Correia and Rui Calçada
Lecture Notes in Civil Engineering, Trends on Construction in the Digital Era 306 47 (2023)
https://doi.org/10.1007/978-3-031-20241-4_4

Stress and permanent deformation amplification factors in subgrade induced by dynamic mechanisms in track structures

A. Ramos, A. Gomes Correia, R. Calçada and P. Alves Costa
International Journal of Rail Transportation 10 (3) 298 (2022)
https://doi.org/10.1080/23248378.2021.1922317

Influence of track flexibility and spatial coherence of track irregularity on vehicle-slab track interaction: frequency-domain analysis

Lei Xu and Tao Lu
International Journal of Rail Transportation 9 (4) 342 (2021)
https://doi.org/10.1080/23248378.2020.1811170

Methods to Monitor and Evaluate the Deterioration of Track and Its Components in a Railway In-Service: A Systemic Review

Andre L. O. de Melo, Sakdirat Kaewunruen, Mayorkinos Papaelias, Liedi L. B. Bernucci and Rosangela Motta
Frontiers in Built Environment 6 (2020)
https://doi.org/10.3389/fbuil.2020.00118