Comprehensive validation of three-dimensional finite element modelling of wheel-rail high-frequency interaction via the V-Track test rig

Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations

A finite element thermomechanical analysis of the development of wheel polygonal wear

Parametric investigation of railway fastenings into the formation and mitigation of short pitch corrugation

Neural Oscillators for Generalization of Physics-Informed Machine Learning

Detection of Rail Surface Defects based on Axle Box Acceleration Measurements: A Measurement Campaign in Sweden

Condition monitoring of railway transition zones using acceleration measurements on multiple axle boxes: Case studies in the Netherlands, Sweden, and Norway

Evaluating railway track stiffness using axle box accelerations: A digital twin approach

An Interpretable Method for Operational Modal Analysis in Time-Frequency Representation and Its Applications to Railway Sleepers

Rail wear rate on the Belgian railway network: a big-data analysis

An integrated 3D dynamic FE vehicle-track model in elasto-plasticity to investigate short pitch corrugation under cyclic wheel loads

Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems

Intelligent Data Fusion for Anomaly Detection in Dutch Railway Catenary Condition Monitoring

Numerical simulation and characterization of speckle noise for laser Doppler vibrometer on moving platforms (LDVom)

Ground vibration induced by high speed trains on an embankment with pile-board foundation: Modelling and validation with in situ tests

Strain partitioning and damage initiation in a continuously cooled carbide free bainitic steel

A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects

Removing speckle noise from the signals of a laser Doppler vibrometer on moving platforms (LDVom) by ensemble empirical mode decomposition

Mechanism of short pitch rail corrugation: initial excitation and frequency selection for consistent initiation and growth

Predicting traction return current in electric railway systems through physics-informed neural networks