2019
DOI: 10.1016/j.cam.2019.03.047
|View full text |Cite
|
Sign up to set email alerts
|

Generalized multiscale finite element method for a strain-limiting nonlinear elasticity model

Abstract: In this paper, we consider multiscale methods for nonlinear elasticity. In particular, we investigate the Generalized Multiscale Finite Element Method (GMsFEM) for a strain-limiting elasticity problem. Being a special case of the naturally implicit constitutive theory of nonlinear elasticity, strain-limiting relation has presented an interesting class of material bodies, for which strains remain bounded (even infinitesimal) while stresses can become arbitrarily large. The nonlinearity and material heterogeneit… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
44
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
5
2

Relationship

2
5

Authors

Journals

citations
Cited by 28 publications
(45 citation statements)
references
References 28 publications
1
44
0
Order By: Relevance
“…Thanks to [7], we derive the following results, which were also stated in [8] (p. 19) and proved in our recent GMsFEM paper [18].…”
Section: Input Problem and Classical Formulationsupporting
confidence: 68%
See 3 more Smart Citations
“…Thanks to [7], we derive the following results, which were also stated in [8] (p. 19) and proved in our recent GMsFEM paper [18].…”
Section: Input Problem and Classical Formulationsupporting
confidence: 68%
“…For the sake of simplicity, the case d = 2 is considered here. We refer the readers to our previous paper [18] for more details about the strain-limiting nonlinear elasticity model. We now consider an arising nonlinear poroelasticity system, where the unknowns are displacement u : Ω × [0, T ] and pressure p : Ω × [0, T ] satisfying…”
Section: Input Problem and Classical Formulationmentioning
confidence: 99%
See 2 more Smart Citations
“…To further improve the performances of GMsFEM, residual driven online multiscale basis functions were proposed in [17], these multiscale basis contains local and global media information and source information, which significantly facilitate convergence of the multiscale method. It is observed for time dependent problems or nonlinear problems, one can reuse the residual driven multiscale basis functions computed at certain time step or iteration [14,25,24,41,42], which tremendously increase the accuracy of the GMsFEM solution compared with only using equal numbers of offline basis functions.…”
Section: Introductionmentioning
confidence: 99%