2007
DOI: 10.1007/s00419-007-0162-9
|View full text |Cite
|
Sign up to set email alerts
|

An inverse algorithm for the identification and the sensitivity analysis of the parameters governing micropolar elasto-plastic granular material

Abstract: The article concerns the complex determination process of the material parameters governing micropolar granular material with elasto-plastic material properties. Proceeding from a gradient-based method, we split the total set of parameters and the overall identification procedure into two major categories. These are, firstly, the identification of the parameters of a standard non-polar elasto-plastic continuum, and, secondly, the determination of the remaining parameters governing the micropolar part of the co… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
32
0

Year Published

2008
2008
2018
2018

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 49 publications
(32 citation statements)
references
References 35 publications
0
32
0
Order By: Relevance
“…Some authors have also developed strategies to calibrate the parameters of the model using a series of cyclic triaxial and compression biaxial tests (Ehlers and Scholz, 2007) or a combination of micro-CT images and macroscopic stress-strain response for a single triaxial test (Wang et al, 2016).…”
mentioning
confidence: 99%
“…Some authors have also developed strategies to calibrate the parameters of the model using a series of cyclic triaxial and compression biaxial tests (Ehlers and Scholz, 2007) or a combination of micro-CT images and macroscopic stress-strain response for a single triaxial test (Wang et al, 2016).…”
mentioning
confidence: 99%
“…In general, these models work acceptably; however, they fare less well in the commonplace yet complex scenario where strain is localized in regions so small that the granular structure cannot safely be ignored (e.g., landslides, hourglass orifice flow). Models such as micropolar theory [28] inherently possess a length scale that allow them to capture strain localization such as shear banding [38]; however, studies have been limited to 2D conditions [14,53] and many of their parameters' physical interpretations are not known and must be back-calculated from experimental data [15]. Thus, in order to handle 3D strain localization problems, it is generally agreed that an explicit modeling of the particle scale is needed.…”
Section: Introductionmentioning
confidence: 99%
“…The micropolar continuum is covered extensively in the literature, see e.g. [47,10,9,39] for the aspects of plasticity and parameter identification. Microstrain theories are treated, e.g.…”
Section: Introductionmentioning
confidence: 99%