Quantification of Dynamic Track Stiffness Using Machine Learning

Railway track stiffness is an essential factor influencing the track conditions and long-term deterioration. However, the traditional ways to measure the track stiffness are based on inverse computations using multi-body simulations and/or finite element models, which are time-consuming and at low-s...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Junhui Huang, Xiaojie Yin, Sakdirat Kaewunruen
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Subjects:	Track stiffness axle box accelerations dilated convolutional machine learning railway infrastructure
Online Access:	https://ieeexplore.ieee.org/document/9830617/