Abstract
Ploughing processes are difficult to simulate using conventional approaches due to the occurrence of extremely large, predominantly plastic deformation. Numerical techniques such as the Material Point Method and the Discrete Element Method are, in principle, capable of reproducing the deformation observed in these evolutionary processes, but they are not without drawbacks, the most significant being the large processing times required. This paper presents a new numerical technique for modeling the ploughing process in sands. The method rests on the assumption that deformation occurs in the formof strong discontinuities, or shear bands, and considers the full process as a sequence of incipient collapse problems.Within an increment of deformation, the collapse mechanism furnishing the least resistance is used to update the deformed configuration and evaluate force. The model incorporates the effect of softening within the shear bands, as well as material avalanching observed as the slope of the free surface reaches the critical angle at which instabilities occur. Theoretical predictions are compared to experiments, and the basic similarities and difference are discussed.
Original language | English (US) |
---|---|
Title of host publication | Computer Methods and Recent Advances in Geomechanics - Proc. of the 14th International Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014 |
Publisher | Taylor and Francis - Balkema |
Pages | 159-164 |
Number of pages | 6 |
ISBN (Print) | 9781138001480 |
State | Published - Jan 1 2015 |
Event | 14th International Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014 - Kyoto, Japan Duration: Sep 22 2014 → Sep 25 2014 |
Other
Other | 14th International Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014 |
---|---|
Country | Japan |
City | Kyoto |
Period | 9/22/14 → 9/25/14 |
ASJC Scopus subject areas
- Computer Science Applications
- Geochemistry and Petrology