Vibration-based railway track condition monitoring: A physics-based digital twin approach

Research output: ThesisDissertation (TU Delft)

Abstract

This thesis transforms the way we understand and monitor rail infrastructure with a digital twin that merges measurement data and physics-based models to deliver instant insights. This thesis will be of particular interest to professionals in the rail industry seeking to answer the following questions: What are the key features in the measurement data? How can an accurate physics-based vehicle-track interaction model be developed for a specific problem? And, how can mearsurement data and models be combined to deliver actionable insights in real-time?
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
Supervisors/Advisors
  • Dollevoet, R.P.B.J., Supervisor
  • Li, Z., Supervisor
Award date2 Mar 2023
DOIs
Publication statusPublished - 2023

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