Model reduction in elastoplasticity: proper orthogonal decomposition combined with adaptive sub-structuring

By Annika Radermacher, Stefanie Reese. 2014

85 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/dd06de9d2a6f904e001ac439ba3a23ecb4823c07

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. J. Michel
2. Pierre Suquet
3. Felix Fritzen
4. Wing Kam Liu
5. Zeliang Liu
6. Thomas Böhlke
7. Matthias Leuschner
8. Miguel A. Bessa

In Statistical and Nonlinear Physics

1. Pierre Suquet
2. J. Michel

In Statistics and Probability

1. Pierre Suquet
2. J. Michel

Citations in the corpus

• Model Order Reduction and domain decomposition strategies for the solution of the dynamic elastic–plastic structural problem (2015, unknown): “During the revision process, the Authors were informed by one of the reviewer that the paper [31] appeared online on April 19, 2014, only 20 days before our submission.”
• A model-reduction approach in micromechanics of materials preserving the variational structure of constitutive relations (2016, methodology): “However, by contrast with most other modelreduction techniques (see Radermacher and Reese, 2014, for instance), the natural variables for the decomposition are the internal variables and not the displacement (or velocity) field.”