Skip to main content

A Variant of the Nonlinear Multiscale Dynamic Diffusion Method

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Abstract

This paper presents a two-scale finite element formulation for a variant of the nonlinear Dynamic Diffusion (DD) method, applied to advection-diffusion-reaction problems. The approach, named here new-DD method, introduces locally and dynamically an extra stability through a nonlinear operator acting in all scales of the discretization, and it is designed to be bounded. We use bubble functions to approximate the subgrid scale space, which are locally condensed on the resolved scales. The proposed methodology is solved by an iterative procedure that uses the bubble-enriched Galerkin solution as the correspondent initial approximation, which is automatically recovered wherever stabilization is not required. Since the artificial diffusion introduced by the new-DD method relies on a problem-depend parameter, we investigate alternative choices for this parameter to keep the accuracy of the method. We numerically evaluate stability and accuracy properties of the method for problems with regular solutions and with layers, ranging from advection-dominated to reaction-dominated transport problems.

Supported by organizations CNPq, FAPERJ and FAPES.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Arruda, N., Almeida, R., do Carmo, E.D.: Dynamic diffusion formulation for advection dominated transport problems. Mecánica Computacional 29, 2011–2025 (2010)

    Google Scholar 

  2. Brooks, A., Hughes, T.: Streamline upwind/Petrov-Galerkin formulations for convection dominated flows with particular emphasis on the incompressible Navier-Stokes equations. Comput. Methods Appl. Mech. Eng. 32, 199–259 (1982)

    Article  MathSciNet  Google Scholar 

  3. Cawood, M., Ervin, V., Layton, W., Maubach, J.: Adaptive defect correction methods for convection dominated, convection diffusion problems. J. Comput. Appl. Math. 116(1), 1–21 (2000)

    Article  MathSciNet  Google Scholar 

  4. Galeão, A., do Carmo, E.D.: A consistent approximate upwind Petrov-Galerkin method for convection-dominated. Comput. Methods Appl. Mech. Eng. 10, 83–95 (1988)

    Google Scholar 

  5. Geuzaine, C., Remacle, J.F.: GMSH: a 3-D finite element mesh generator with built-in pre- and post-processing facilities. Int. J. Numer. Meth. Eng. 79(11), 1309–1331 (2009)

    Article  MathSciNet  Google Scholar 

  6. Guermond, J.L.: Stabilization of Galerkin approximations of transport equation by subgrid modeling. Math. Model. Num. Anal. 33, 1293–1316 (1999)

    Article  MathSciNet  Google Scholar 

  7. Guermond, J.L.: Subgrid stabilization of Galerkin approximations of linear monotone operators. IMA J. Numer. Anal. 21, 165–197 (2001)

    Article  MathSciNet  Google Scholar 

  8. Hughes, T.J.R., Scovazzi, G., Franca, L.P.: Multiscale and Stabilized Methods, pp. 1–64. American Cancer Society (2017). https://doi.org/10.1002/9781119176817.ecm2051

  9. Hughes, T., Feijoo, G., Luca, M., Jean-Baptiste, Q.: The variational multiscale method - a paradigm for computational mechanics. Comput. Methods Appl. Mech. Eng. 166, 3–24 (1998)

    Article  MathSciNet  Google Scholar 

  10. Iliescu, T.: Genuinely nonlinear models for convection-dominated problems. Comput. Math. Appl. 48(10–11), 1677–1692 (2004)

    Article  MathSciNet  Google Scholar 

  11. John, V., Knobloch, P.: A computational comparison of methods diminishing spurious oscillations in finite element solutions of convection-diffusion equations. In: Proceedings of the International Conference Programs and Algorithms of Numerical Mathematics, vol. 13, pp. 122–136. Academy of Sciences of the Czech Republic (2006)

    Google Scholar 

  12. John, V., Knobloch, P.: On spurious oscillations at layers diminishing (SOLD) methods for convection-diffusion equations: part I - a review. Comput. Methods Appl. Mech. Eng. 196(17–20), 2197–2215 (2007)

    Article  Google Scholar 

  13. John, V., Knobloch, P.: On spurious oscillations at layers diminishing (SOLD) methods for convection-diffusion equations: part II - analysis for P1 and Q1 finite elements. Comput. Methods Appl. Mech. Eng. 197(21–24), 1997–2014 (2008)

    Article  Google Scholar 

  14. Johnson, C., Navert, U., Pitkäranta, J.: Finite element methods for linear hyperbolic problems. Comput. Methods Appl. Mech. Eng. 45, 285–312 (1984)

    Article  MathSciNet  Google Scholar 

  15. Knopp, T., Lube, G., Rapin, G.: Stabilized finite element methods with shock capturing for advection-diffusion problems. Comput. Methods Appl. Mech. Eng. 191(27), 2997–3013 (2002). https://doi.org/10.1016/S0045-7825(02)00222-0

    Article  MathSciNet  MATH  Google Scholar 

  16. Mallet, M.: A finite element method for computational fluid dynamics. Ph.D. thesis, Department of Civil Engineering, Stanford University (1985)

    Google Scholar 

  17. Santos, I.P., Almeida, R.C.: A nonlinear subgrid method for advection-diffusion problems. Comput. Methods Appl. Mech. Eng. 196, 4771–4778 (2007)

    Article  MathSciNet  Google Scholar 

  18. Santos, I.P., Malta, S.M., Valli, A.M., Catabriga, L., Almeida, R.C.: Convergence analysis of a new dynamic diffusion method. Comput. Math. Appl. 98, 1–9 (2021). https://doi.org/10.1016/j.camwa.2021.06.012

  19. Valli, A., Catabriga, L., Santos, I., Coutinho, A., Almeida, R.: Multiscale dynamic diffusion method to solve advection-diffusion problems. In: XXXVI Ibero-Latin American Congress on Computational Methods in Engineering, Rio de Janeiro, RJ (2015)

    Google Scholar 

  20. Valli, A.M., Almeida, R.C., Santos, I.P., Catabriga, L., Malta, S.M., Coutinho, A.L.: A parameter-free dynamic diffusion method for advection-diffusion-reaction problems. Comput. Math. Appl. 75(1), 307–321 (2018)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

This work was supported by the Foundation for Research Support of Espírito Santo (FAPES) under Grant 181/2017.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lucia Catabriga .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Valli, A.M.P., Santos, I.P., Malta, S.M.C., Catabriga, L., Almeida, R.C. (2021). A Variant of the Nonlinear Multiscale Dynamic Diffusion Method. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12949. Springer, Cham. https://doi.org/10.1007/978-3-030-86653-2_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-86653-2_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86652-5

  • Online ISBN: 978-3-030-86653-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics