25 results on '"Dollevoet, Rolf"'
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2. Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
3. Neural oscillators for generalization of physics-informed machine learning
4. Physics-informed machine learning for moving load problems
5. Physics-informed neural networks for solving forward and inverse problems in complex beam systems
6. Enhanced vertical railway track quality index with dynamic responses from moving trains
7. A finite element thermomechanical analysis of the development of wheel polygonal wear
8. Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
9. Evaluating railway track stiffness using axle box accelerations: A digital twin approach
10. An integrated 3D dynamic FE vehicle-track model in elasto-plasticity to investigate short pitch corrugation under cyclic wheel loads
11. Ground vibration induced by high speed trains on an embankment with pile-board foundation: Modelling and validation with in situ tests
12. Rail degradation due to thermite weld discontinuities: Field experience
13. Comprehensive validation of three-dimensional finite element modelling of wheel-rail high-frequency interaction via the V-Track test rig
14. Rail wear rate on the Belgian railway network – a big-data analysis
15. An Interpretable Method for Operational Modal Analysis in Time-Frequency Representation and Its Applications to Railway Sleepers
16. Mechanism of short pitch rail corrugation: initial excitation and frequency selection for consistent initiation and growth
17. Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems
18. Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems
19. Artificial intelligence in railway infrastructure: current research, challenges, and future opportunities
20. Mechanism of short pitch rail corrugation: initial excitation and frequency selection for consistent initiation and growth
21. Predicting traction return current in electric railway systems through physics-informed neural networks
22. Numerical simulation and characterization of speckle noise for laser Doppler vibrometer on moving platforms (LDVom)
23. Physics-informed machine learning for moving load problems
24. Removing speckle noise from the signals of a laser Doppler vibrometer on moving platforms (LDVom) by ensemble empirical mode decomposition
25. A multiple spiking neural network architecture based on fuzzy intervals for anomaly detection: a case study of rail defects
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