Application research on high speed railway roadbed deformation monitoring based on EM processing

By establishing a mathematical model based measured data, it is possible to predict the post-construction settlement data of the high-speed railway subgrade accurately, which can provide an effective reference for the timing of laying. The EM processing is used to establish a mathematical model for the measured settlement data, and the appropriate initial parameters are selected to predict the post-construction settlement data. The modeling results show that the EM processing has good accuracy and reliability in predicting the post-construction settlement of the high-speed railway subgrade.

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Publication Details

Journal
Discover Applied Sciences
Published
2026-03-09
DOI
https://doi.org/10.1007/s42452-026-08286-w
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Application research on high speed railway roadbed deformation monitoring based on EM processing

Qingjuan Sun, Dachuan Tian, Haitao Ma
Discover Applied Sciences
Railway Engineering and Dynamics
article

Application research on high speed railway roadbed deformation monitoring based on EM processing

Qingjuan Sun, Dachuan Tian, Haitao Ma
article en

Abstract

By establishing a mathematical model based measured data, it is possible to predict the post-construction settlement data of the high-speed railway subgrade accurately, which can provide an effective reference for the timing of laying. The EM processing is used to establish a mathematical model for the measured settlement data, and the appropriate initial parameters are selected to predict the post-construction settlement data. The modeling results show that the EM processing has good accuracy and reliability in predicting the post-construction settlement of the high-speed railway subgrade.

Discover Applied Sciences
Kaifeng University (CN), Yellow River Conservancy Technical Institute (CN), China Railway Construction Machinery Research & Design Institute (CN)
Openalex Percentile: Top 30%
Railway Engineering and Dynamics
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