Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling

Research of Loess Dynamic Subsidence under Locomotive Vibration Load of the High-speed Railway

Authors
Yang Tao, Wang Jiading, Luo Huilai, Li Qiang
Corresponding Author
Yang Tao
Available Online June 2015.
DOI
https://doi.org/10.2991/kam-15.2015.64How to use a DOI?
Keywords
dynamic triaxial test; settlement; high-speed railway; vibration load.
Abstract

This paper discusses a problem that loess dynamic settlement occurs and changes lager under locomotive vibration load during the high speed railway is running. In order to solve the problem efficiently, we firstly do a group of experiments about dynamic triaxial test of loess. This method does not require measuring on site and can get easily some precise parameters in the laboratory. Then the numerical model is proposed to calculate simply loess dynamic subsidence on the base of experiments, the way is used to measure according to layerwise summation method. Finally, the settlement prediction on the high-speed railway is effective and feasible to a certain extent in the actual use.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-87-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/kam-15.2015.64How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yang Tao
AU  - Wang Jiading
AU  - Luo Huilai
AU  - Li Qiang
PY  - 2015/06
DA  - 2015/06
TI  - Research of Loess Dynamic Subsidence under Locomotive Vibration Load of the High-speed Railway
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 234
EP  - 237
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.64
DO  - https://doi.org/10.2991/kam-15.2015.64
ID  - Tao2015/06
ER  -