The use of Ground Penetrating Radar and artificial intelligence for automated railway trackbed stratigraphy and Ballast Fouling assessment

Intrusive trenching and coring remain the reference for railway trackbed diagnosis but lack coverage and repeatability. This paper proposes a hybrid GPR–AI framework that automates the detection of dielectric interfaces and the estimation of ballast permittivity and thickness. Synthetic FDTD simulat...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ernest Mbubia Tchoua, Jérôme Tissier, Antoine Martin, Yannick Fargier, Amine Ihamouten
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2026-03-01
Sarja:	Transportation Engineering
Aiheet:	Ballast layer GPR Step frequency Ballast Fouling
Linkit:	http://www.sciencedirect.com/science/article/pii/S2666691X25001149
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