University of Surrey

Test tubes in the lab Research in the ATI Dance Research

The virtual element method strength reduction technique for the stability analysis of stony soil slopes

Sun, Guanhua, Lin, Shan, Zheng, Hong, Tan, Yunzhi and Sui, Tan (2020) The virtual element method strength reduction technique for the stability analysis of stony soil slopes Computers and Geotechnics, 119, 103349.

[img] Text
Manuscript.pdf - Accepted version Manuscript
Restricted to Repository staff only until 3 December 2021.

Download (1MB)

Abstract

Based on the incremental method of elastic-plastic mechanics and bilinear projection operators, by combining the strength reduction method with the φ-v inequality, this paper proposes a virtual element method strength reduction technique for slope stability analysis. The deformations of a homogeneous slope and heterogeneous slope are solved under different strength reduction factors, and the mesh dependency problem of the method is discussed. Numerical examples verify the correctness and effectiveness of the proposed method. The results demonstrate that due to the differences in the physical and mechanical properties of soil and rocks, stress becomes concentrated in the contact zone between soil and rocks, and thus, the plastic zone surrounds the rocks. Therefore, it is difficult to form regular connections in a plastic zone, such as a soil slope. This method can be used to analyse the stability of a stony soil slope and to study the effects of particle size, rock content, rock density, and rock spatial distribution on the mechanical behaviour of stony soil slopes.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
NameEmailORCID
Sun, Guanhua
Lin, Shan
Zheng, Hong
Tan, Yunzhi
Sui, Tant.sui@surrey.ac.uk
Date : March 2020
DOI : 10.1016/j.compgeo.2019.103349
Copyright Disclaimer : © 2019 Elsevier Ltd. All rights reserved.
Uncontrolled Keywords : Slope; Virtual element method; Finite element method; Strength reduction
Additional Information : Supported by the Natural Science Foundation of China (Grant No. 11972043) and National Key R&D Program of China (2018YFE0100100).
Depositing User : Diane Maxfield
Date Deposited : 14 Jan 2020 13:18
Last Modified : 14 Jan 2020 13:19
URI: http://epubs.surrey.ac.uk/id/eprint/853322

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800