Sliding Distance Prediction of Loess Landslide based on the Discrete Element Method

DOI

10.2991/ap3er-15.2015.100How to use a DOI?

Keywords

landslide; sliding distance prediction; discrete element; linear regression analysis

Abstract

The sliding distance is the most critical risk factors in landslide disasters, and many factors affects landslide sliding distance. In order to investigate the influence of various factors on the landslide sliding distance, take the loess landslides on south of Jing he River in Xi'an as the study area, make use of the discrete element simulation software PFC2D on the soil of the study area, establish a model take the five factors of the friction coefficient, the sphere particle size, slope, volume, height as the model variables, and analysis the influence of these five factors on the landslide sliding distance. By regression analysis, a number of numerical results can fit a sliding distance prediction equation of landslides, summarize the sliding distance landslide weights of various factors on the impact of the sliding distance.

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/).

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TY  - CONF
AU  - Yazhe Li
AU  - Wengui Tang
PY  - 2015/06
DA  - 2015/06
TI  - Sliding Distance Prediction of Loess Landslide based on the Discrete Element Method
BT  - Proceedings of the 2015 Asia-Pacific Energy Equipment Engineering Research Conference
PB  - Atlantis Press
SP  - 425
EP  - 428
SN  - 2352-5401
UR  - https://doi.org/10.2991/ap3er-15.2015.100
DO  - 10.2991/ap3er-15.2015.100
ID  - Li2015/06
ER  -