EGU25-5111, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-5111
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
A Data-Driven Approach for Predicting Mud Pumping in Railway Tracks Using GIS and In-Service Train Vibration Data
How to cite: Geng, X.: A Data-Driven Approach for Predicting Mud Pumping in Railway Tracks Using GIS and In-Service Train Vibration Data, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-5111, https://doi.org/10.5194/egusphere-egu25-5111, 2025.