2007
DOI: 10.1007/s00161-007-0064-7
|View full text |Cite
|
Sign up to set email alerts
|

Volume-weighted mixture theory for granular materials

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2009
2009
2015
2015

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 11 publications
(11 citation statements)
references
References 25 publications
0
11
0
Order By: Relevance
“…Its simplicity also yields modelling and computational advantages. For a formal comparison of volume and mass weighted mixture concepts, see Chen and Tai [8].…”
Section: Physical Assumptionsmentioning
confidence: 99%
See 2 more Smart Citations
“…Its simplicity also yields modelling and computational advantages. For a formal comparison of volume and mass weighted mixture concepts, see Chen and Tai [8].…”
Section: Physical Assumptionsmentioning
confidence: 99%
“…In the present model we are left with the equivalent quantities B s ,Z s and D s , but owing to the mixture character of the model the quantities ν s and ∇ν s should also arise. To disregard the latter contributions is hardly feasible and, therefore, if we want to use the representations for L and N proposed in the literature for single-body hypo-plasticity, 8 their adaption is necessary. The existing recent literature on hypo-plastic constitutive modelling and parameter identification for special choices of the operators L and N clearly point at a dominant role played by the void ratio e = (1 − ν s )/ν s .…”
Section: Frictional Part Of the Solid Stressmentioning
confidence: 99%
See 1 more Smart Citation
“…So, let λ 1 , λ 2 be the eigenvalues of the mean surface stretching, and let f 1 , f 2 be corresponding (for the moment arbitrary) orthonormal eigenvectors 3 . We shall propose three models for σ ⋆ s .…”
Section: This Yieldsmentioning
confidence: 99%
“…Finally, note that (8.10) holds, in fact, for any orthonormal vectors f 1 , f 2 in the tangent space to S, and not necessarily for eigenvectors of D S v τ . 3 The matrix (D α β ) in the representation D S vτ = D α β τα ⊗ τ β is needed to obtain the eigenvalues and eigenvectors of D S vτ, and it has been deduced in Luca et al [11].…”
Section: This Yieldsmentioning
confidence: 99%