2020
DOI: 10.1016/j.cma.2019.112756
|View full text |Cite
|
Sign up to set email alerts
|

The mixed complementarity problem arising from non-associative plasticity with non-smooth yield surfaces

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
18
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 26 publications
(18 citation statements)
references
References 36 publications
0
18
0
Order By: Relevance
“…Suppose the set of solutions to MiCP (f I , f E ) is not empty [25]; based on the Gauss-Seidel iteration, we designed a projection-contraction algorithm, abbreviated by GSPC. GSPC is unnecessary to (i) test if the elastic trial stress point σ e , defined in Equation ( 13), is outside the elastic domain E σ ; (ii) find the intersection between the elastic path σ 0 -σ e and the yielding surface; (iii) guess which yielding patches are active; and (iv) form the Hesse matrix of any potential function g i .…”
Section: The Mixed Complementarity Problemmentioning
confidence: 99%
“…Suppose the set of solutions to MiCP (f I , f E ) is not empty [25]; based on the Gauss-Seidel iteration, we designed a projection-contraction algorithm, abbreviated by GSPC. GSPC is unnecessary to (i) test if the elastic trial stress point σ e , defined in Equation ( 13), is outside the elastic domain E σ ; (ii) find the intersection between the elastic path σ 0 -σ e and the yielding surface; (iii) guess which yielding patches are active; and (iv) form the Hesse matrix of any potential function g i .…”
Section: The Mixed Complementarity Problemmentioning
confidence: 99%
“…The original GSPC is invoked in this way by Zheng et al 41 (N,x)badbreak=GSPC(N0,x0,fI,fE)\begin{equation} (N,x)=\mbox{GSPC}(N^0,x^0,f_I,f_E) \end{equation}where false(N0,x0false)$(N^0,x^0)$ is the initial guess value of GSPC algorithm, fI$f_I$ is the inequality condition in MiCP, fE$f_E$ is the equality condition in the MiCP.…”
Section: Comparison Between R‐gspc and Gspcmentioning
confidence: 99%
“…The GSPC is a PCA based on Gauss-Seidel, Allevi et al 40 introduced the extended Gauss-Seidel method to solve the multivalued problem of mixed complementarity. The GSPC method was firstly applied to solve the elastoplastic problem of nonsmooth yield surface by Zheng et al, 41 then the method was used for elastic-plastic shear band problems by Fan et al 42 It can be found that the GSPC algorithm can be extended to a large class of complementary problems, such as the contact problem discussed in this paper later, owing to the contact complementarity problem and the elastic-plastic complementarity problem have similar mathematical forms.…”
Section: Introductionmentioning
confidence: 99%
“…However, laboratory investigations still suffer from difficulty in capturing the complex microscopic behaviors of unsaturated soils even with some advanced experimental techniques such as the photoelasticity technique 19 and X‐ray computerized tomography 20 . As an alternative tool, numerical methods, 21 which can conveniently deal with complex model geometry and boundary conditions, 22,23 are widely adopted to investigate the mechanical behavior of unsaturated soils. Due to the discontinuity of soil skeleton and complexity of capillary action, continuum‐based numerical methods represented by the finite element method (FEM), 24 which are often applied for macroscopic behavior analysis, 25–28 can hardly realistically reflect the micro‐mechanism of unsaturated soils.…”
Section: Introductionmentioning
confidence: 99%