A velocity-vorticity-pressure formulation for the steady Navier–Stokes–Brinkman–Forchheimer problem
| dc.contributor.author | Badia, Santiago | en |
| dc.contributor.author | Carstensen, Carsten | en |
| dc.contributor.author | Martín, Alberto F. | en |
| dc.contributor.author | Ruiz-Baier, Ricardo | en |
| dc.contributor.author | Villa-Fuentes, Segundo | en |
| dc.date.accessioned | 2025-12-16T01:36:10Z | |
| dc.date.available | 2025-12-16T01:36:10Z | |
| dc.date.issued | 2025-12-01 | en |
| dc.description.abstract | The flow of incompressible fluid in highly permeable porous media in vorticity - velocity - Bernoulli pressure form leads to a double saddle-point problem in the Navier–Stokes–Brinkman–Forchheimer equations. The paper establishes, for small sources, the existence of solutions on the continuous and discrete level of lowest-order piecewise divergence-free Crouzeix–Raviart finite elements. The vorticity employs a vector version of the pressure space with normal and tangential velocity jump penalisation terms. A simple Raviart–Thomas interpolant leads to pressure-robust a priori error estimates. An explicit residual-based a posteriori error estimate allows for efficient and reliable a posteriori error control. The efficiency for the Forchheimer nonlinearity requires a novel discrete inequality of independent interest. The implementation is based upon a light-weight forest-of-trees data structure handled by a highly parallel set of adaptive mesh refining algorithms. Numerical simulations reveal robustness of the a posteriori error estimates and improved convergence rates by adaptive mesh-refining. | en |
| dc.description.sponsorship | This work has been supported by Monash Mathematics through a Gordon Preston Sabbatical Fellowship (C. Carstensen); by the Australian Research Council through the Future Fellowship grant FT220100496 (R. Ruiz-Baier) and Discovery Project grant DP22010316 (S. Badia and R. Ruiz-Baier); and by the National Research and Development Agency (ANID) of the Ministry of Science, Technology, Knowledge and Innovation of Chile through the postdoctoral program Becas Chile grant 74220026 (S. Villa-Fuentes). Computational resources were provided by the Australian Government through NCI under the National Computational Merit Allocation Scheme (NCMAS) and the ANU Merit Allocation Scheme (ANUMAS) (A.F. Martín). | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 27 | en |
| dc.identifier.issn | 0045-7825 | en |
| dc.identifier.other | Bibtex:BADIA2025118343 | en |
| dc.identifier.scopus | 105014945957 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733795228 | |
| dc.language.iso | en | en |
| dc.provenance | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | en |
| dc.rights | © 2025 The Author(s) | en |
| dc.source | Computer Methods in Applied Mechanics and Engineering | en |
| dc.subject | Navier–Stokes–Brinkman–Forchheimer equations | en |
| dc.subject | Pressure robustness | en |
| dc.subject | Nonconforming finite elements | en |
| dc.subject | Banach fixed-point theory | en |
| dc.subject | A priori and a posteriori error estimates | en |
| dc.title | A velocity-vorticity-pressure formulation for the steady Navier–Stokes–Brinkman–Forchheimer problem | en |
| dc.type | Journal article | en |
| dspace.entity.type | Publication | en |
| local.contributor.affiliation | Badia, Santiago; Monash University | en |
| local.contributor.affiliation | Carstensen, Carsten; Humboldt University of Berlin | en |
| local.contributor.affiliation | Martín, Alberto F.; School of Computing, ANU College of Systems and Society, The Australian National University | en |
| local.contributor.affiliation | Ruiz-Baier, Ricardo; Monash University | en |
| local.contributor.affiliation | Villa-Fuentes, Segundo; Monash University | en |
| local.identifier.citationvolume | 447 | en |
| local.identifier.doi | 10.1016/j.cma.2025.118343 | en |
| local.identifier.pure | a56b9455-c739-40b5-a534-70850d67bb83 | en |
| local.type.status | Published | en |
Downloads
Original bundle
1 - 1 of 1
Loading...
- Name:
- 1-s2.0-S0045782525006152-main.pdf
- Size:
- 7.32 MB
- Format:
- Adobe Portable Document Format