Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges

Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges

Railway importance in the transportation industry is increasing continuously, due to the growing demand of both passenger travel and transportation of goods. However, more than 35% of the 300,000 railway bridges across Europe are over 100-years old, and their reliability directly impacts the reliabi...

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Bibliographic Details
Main Authors: Vagnoli, Matteo, Remenyte-Prescott, Rasa, Andrews, John
Format: Article
Published: SAGE 2018
Subjects:
Structural health monitoring
railway bridges
fault detection and diagnosis
artificial neural network
finite element model updating
future challenges
Online Access:https://eprints.nottingham.ac.uk/46735/

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