Vibration-based railway track condition monitoring

A physics-based digital twin approach

Doctoral Thesis (2023)
Author(s)

Chen Shen (TU Delft - Railway Engineering)

Contributor(s)

RPBJ Dollevoet – Promotor (TU Delft - Railway Engineering)

Z. Li – Promotor (TU Delft - Railway Engineering)

Research Group
Railway Engineering
Copyright
© 2023 C. Shen
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Publication Year
2023
Language
English
Copyright
© 2023 C. Shen
Research Group
Railway Engineering
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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?

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