Long-Term Cyclic Triaxial Tests With Dem Simulations

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jan 2017 Italy, Spain Publisher:ZenodoJournal:PARTICLES 2017, V International Conference on Particle-based Methods – Fundamentals and ApplicationsFunded by:EC | INFRASTAR

Authors: Zorzi, Gianluca; Kirsch, Fabian; Gabrieli, Fabio; Rackwitz, Frank;

doi: 10.5281/zenodo.1210089 , 10.5281/zenodo.1210090

handle: 2117/187133 , 11577/3258419

Long-Term Cyclic Triaxial Tests With Dem Simulations

- Summary
- Subjects
- Metrics

Abstract

The present paper presents the capability of Discrete Element Method (DEM) to simulate a long-term cyclic drained triaxial test (up to 100,000 cycles). The results regard the progressive accumulation of plastic strain as function of the number of particles and the initial particles rearrangement. The influence of densification and contact orientation (anisotropy) in the evolution of the strength of the soil during the cyclic loading history is investigated.

Countries

Italy, Spain

Related Organizations

University of Padua
Italy
Universitat Polite`cnica de Catalunya
Spain
Technical University of Berlin
Germany
GUD CONSULT GMBH
Germany
Technical University of Berlin
Germany

View all View all

Keywords

Finite element method, Computational methods in mechanics, Cyclic loading; DEM; Stress induced anisotropy; Atomic and Molecular Physics, and Optics, Particle methods (Numerical analysis), DEM, cyclic loading, stress induced anisotropy, Elements finits, Mètode dels

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average