Temperature field test and prediction using a GA-BP neural network for CRTS II slab tracks

Temperature field test and prediction using a GA-BP neural network for CRTS II slab tracks

Abstract The CRTS II slab track, which is connected in a longitudinal direction, is one of the main ballastless tracks in China, with approximately 7365 km of operational track. Temperature loading is a very vital factor leading to slab track damages such as warping and cracking. While existing rese...

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Bibliographic Details
Main Authors: Dan Liu, Chengguang Su, Rongshan Yang, Juanjuan Ren, Xueyi Liu
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Railway Engineering Science
Subjects:
Ballastless track
Long-term test
Temperature distribution
Correlation analysis
Neural network
Online Access:https://doi.org/10.1007/s40534-023-00309-1

Internet

https://doi.org/10.1007/s40534-023-00309-1

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