Vibration-based railway track condition monitoring

A physics-based digital twin approach

Doctoral thesis (2023)

Authors

C. Shen Railway Engineering - CEG
Research Group
Railway Engineering (CEG) (TU Delft)
Copyright: © 2023 C. Shen
DOI
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https://doi.org/10.4233/uuid:b2653590-3c81-42b4-bae5-b18b4acb41e2
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Published Date

2023

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Engineering Structures

Research Group

Railway Engineering

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?