Stochastic analysis for estimating track geometry degradation rates based on GPR and LiDAR data
The estimation of track degradation rate is a challenging step in scheduling preventive
maintenance interventions due to its uncertain nature. To tackle this challenge, a large …
maintenance interventions due to its uncertain nature. To tackle this challenge, a large …
Evolutionary power spectrum density of earthquake-induced rail geometric irregularities
China's high-speed railway (HSR) construction has gradually extended to earthquake-
vulnerable areas in recent years. However, there is currently a lack of studies on the …
vulnerable areas in recent years. However, there is currently a lack of studies on the …
Data-driven methods to predict track degradation: A case study
Predicting track degradation is extremely important due to its beneficial effects on increasing
track safety and scheduling preventive maintenance. Logistic regression and Gradient …
track safety and scheduling preventive maintenance. Logistic regression and Gradient …
Prediction of static liquefaction susceptibility of sands containing plastic fines using machine learning techniques
S Talamkhani, SA Naeini, A Ardakani - Geotechnical and Geological …, 2023 - Springer
This study presents a comprehensive analysis of the capability of machine learning
techniques in estimating the static liquefaction of sands containing plastic fines. In this …
techniques in estimating the static liquefaction of sands containing plastic fines. In this …
Railway Condition Monitoring Using a Hybrid Multi-View Stereopsis and Real-Time Kinematic Geolocation Pipeline for Dense Reconstruction
A Broekman - 2022 - search.proquest.com
Continuous, effective condition monitoring and measurement of railway infrastructure
remains a cornerstone of effective maintenance practices. Nonetheless, the potential …
remains a cornerstone of effective maintenance practices. Nonetheless, the potential …