4.7 Article

Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 234, Issue -, Pages 540-559

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2012.10.011

Keywords

Finite element; Petrov-Galerkin; Proper orthogonal decomposition; Reduced order modelling; Shock wave

Funding

  1. UK's Natural Environment Research Council [NER/A/S/2003/00595, NE/C52101X/1, NE/C51829X/1]
  2. Engineering and Physical Sciences Research Council [GR/R60898, EP/I00405X/1]
  3. Imperial College High Performance Computing Service
  4. NSF/CMG [ATM-0931198]
  5. National Natural Science Foundation [41075064]
  6. National Basic Research Program of China [2012CB417404]
  7. EPSRC [EP/I00405X/1] Funding Source: UKRI
  8. Engineering and Physical Sciences Research Council [EP/I00405X/1] Funding Source: researchfish
  9. Natural Environment Research Council [NE/C51829X/1] Funding Source: researchfish
  10. Div Atmospheric & Geospace Sciences
  11. Directorate For Geosciences [0931198] Funding Source: National Science Foundation

Ask authors/readers for more resources

A new Petrov-Galerkin approach for dealing with sharp or abrupt field changes in discontinuous Galerkin (DG) reduced order modelling (ROM) is outlined in this paper. This method presents a natural and easy way to introduce a diffusion term into ROM without tuning/optimising and provides appropriate modelling and stablisation for the numerical solution of high order nonlinear PDEs. The approach is based on the use of the cosine rule between the advection direction in Cartesian space-time and the direction of the gradient of the solution. The stabilization of the proper orthogonal decomposition (POD) model using the new Petrov-Galerkin approach is demonstrated in 1D and 2D advection and 1D shock wave cases. Error estimation is carried out for evaluating the accuracy of the Petrov-Galerkin POD model. Numerical results show the new nonlinear Petrov-Galerkin method is a promising approach for stablisation of reduced order modelling. (C) 2012 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available