The variation of load diffusion and ballast bed deformation with loading condition: an experiment study

Longlong Fu, Zhekan Tian, Yuexiao Zheng, Weitao Ye and Shunhua Zhou

International Journal of Rail Transportation, 2022, vol. 10, issue 2, 257-273

Abstract: Ballast bed deformation is significantly influenced by its internal stress state. However, investigations concerning ballast bed deformation focus mainly on the deformation behaviour under various external loading conditions or ballast states, where the influence of load diffusion variation has rarely been considered directly. In this work, a full-scale model test was established to obtain simultaneously the external deformation and the internal stress of ballast bed, with respect to various loading conditions (equivalent axle load 14–30 t, 3–6 Hz). The results show that both average stress and stress ratio on ballast increase with loading magnitude. Meanwhile, a larger proportion of vertical load concentrates within the sleeper projection area. Accordingly, the plastic (elastic) deformation is more (less) sensitive to the load variation at larger wheel–rail load. Besides, the dynamic stiffness increases gradually with loading amplitude while showing a small drop as loading frequency increases.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23248378.2021.1897958 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjrtxx:v:10:y:2022:i:2:p:257-273

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjrt20

DOI: 10.1080/23248378.2021.1897958

Access Statistics for this article

International Journal of Rail Transportation is currently edited by Wanming Zhai and Kelvin C. P. Wang

More articles in International Journal of Rail Transportation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().