2019
DOI: 10.3934/matersci.2019.2.252
|View full text |Cite
|
Sign up to set email alerts
|

Two-dimensional implementation of the coarsening method for linear peridynamics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

1
12
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

5
3

Authors

Journals

citations
Cited by 15 publications
(13 citation statements)
references
References 13 publications
1
12
0
Order By: Relevance
“…The reduction in the order of model is achieved by substituting a high-fidelity model with a surrogate model with fewer degrees of freedom. The coarsening method was extended in [97] for two-dimensional applications. A related method of model reduction based on static condensation of a highfidelity peridynamic model was proposed in [98].…”
Section: Introductionmentioning
confidence: 99%
“…The reduction in the order of model is achieved by substituting a high-fidelity model with a surrogate model with fewer degrees of freedom. The coarsening method was extended in [97] for two-dimensional applications. A related method of model reduction based on static condensation of a highfidelity peridynamic model was proposed in [98].…”
Section: Introductionmentioning
confidence: 99%
“…It is also applied for composite and polycrystalline materials [32][33][34][35][36]. The theory is also suitable for multi-physics [37,38], coarsening and multiscale modeling [39][40][41].…”
Section: Introductionmentioning
confidence: 99%
“…The objective of the coarsening algorithm was to derive a simplified model from a detailed and more complex model by retaining fewer DoFs, on the one hand, and preserving the effect of the excluded DoFs in the response of the model, on the other hand. Numerical investigation conducted in both works [18, 19] demonstrated the robustness of the technique in reducing the order of the peridynamic model for a range of problems, without compromising on predictive capability.…”
Section: Introductionmentioning
confidence: 99%
“…A coarsening method for linear peridynamics was proposed and implemented for one dimension [18] and was extended [19] for two-dimensional applications. The objective of the coarsening algorithm was to derive a simplified model from a detailed and more complex model by retaining fewer DoFs, on the one hand, and preserving the effect of the excluded DoFs in the response of the model, on the other hand.…”
Section: Introductionmentioning
confidence: 99%