On use of the hierarchical function to achieve efficient and accurate dynamic analysis of vehicle-slab track coupled systems

Abstract To improve the accuracy and efficiency of the vehicle-track dynamic interaction under the framework of traditional finite element method, the hierarchical function has been introduced into the track structure modeling and coupled by multi-scale coupling method in substructural interaction and wheel–rail contacts with high modeling versatility. The reliability of the proposed method is validated by comparing to the results obtained by the FEM model from aspects of the dynamic response in the time- and frequency-domain and the characteristic frequencies of structural vibration. In addition, the efficiency and accuracy of hierarchical function in vehicle–track dynamics simulation are also proved. In the numerical examples, the errors of FEM-based and hierarchical function-based track structure models are analyzed from the perspective of characteristic frequency; the computational efficiency and accuracy of different hierarchical function-based coupled dynamics models of vehicle-track are compared; finally, the shear effect of rails and track slabs on the dynamic response of the system is analyzed. Numerical analysis indicated that, in comparison with other high-order function, the calculation efficiency can be increased by 56%. Furthermore, the shear effect predominantly influences vertical dynamic response, but has little effect on displacement and lateral dynamic response.

Authors

Institutions

Publication Details

Journal
Railway Engineering Science
Published
2026-01-14
DOI
https://doi.org/10.1007/s40534-025-00392-6
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On use of the hierarchical function to achieve efficient and accurate dynamic analysis of vehicle-slab track coupled systems

Bin Yan, L L Xu, Liu Pan
Railway Engineering Science
Railway Engineering and Dynamics
article

On use of the hierarchical function to achieve efficient and accurate dynamic analysis of vehicle-slab track coupled systems

Bin Yan, L L Xu, Liu Pan
article en

Abstract

Abstract To improve the accuracy and efficiency of the vehicle-track dynamic interaction under the framework of traditional finite element method, the hierarchical function has been introduced into the track structure modeling and coupled by multi-scale coupling method in substructural interaction and wheel–rail contacts with high modeling versatility. The reliability of the proposed method is validated by comparing to the results obtained by the FEM model from aspects of the dynamic response in the time- and frequency-domain and the characteristic frequencies of structural vibration. In addition, the efficiency and accuracy of hierarchical function in vehicle–track dynamics simulation are also proved. In the numerical examples, the errors of FEM-based and hierarchical function-based track structure models are analyzed from the perspective of characteristic frequency; the computational efficiency and accuracy of different hierarchical function-based coupled dynamics models of vehicle-track are compared; finally, the shear effect of rails and track slabs on the dynamic response of the system is analyzed. Numerical analysis indicated that, in comparison with other high-order function, the calculation efficiency can be increased by 56%. Furthermore, the shear effect predominantly influences vertical dynamic response, but has little effect on displacement and lateral dynamic response.

Railway Engineering Science
Central South University (CN)
China Railway, National Natural Science Foundation of China, Central South University
Openalex Percentile: Top 88%
Railway Engineering and Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.