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Title: A spectral mimetic least-squares method for the Stokes equations with no-slip boundary condition

Abstract

Formulation of locally conservative least-squares finite element methods (LSFEMs) for the Stokes equations with the no-slip boundary condition has been a long standing problem. Existing LSFEMs that yield exactly divergence free velocities require non-standard boundary conditions (Bochev and Gunzburger, 2009 [3]), while methods that admit the no-slip condition satisfy the incompressibility equation only approximately (Bochev and Gunzburger, 2009 [4, Chapter 7]). Here we address this problem by proving a new non-standard stability bound for the velocity–vorticity–pressure Stokes system augmented with a no-slip boundary condition. This bound gives rise to a norm-equivalent least-squares functional in which the velocity can be approximated by div-conforming finite element spaces, thereby enabling a locally-conservative approximations of this variable. Here, we also provide a practical realization of the new LSFEM using high-order spectral mimetic finite element spaces (Kreeft et al., 2011) and report several numerical tests, which confirm its mimetic properties.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1631365
Alternate Identifier(s):
OSTI ID: 1259851; OSTI ID: 1351654
Report Number(s):
SAND-2015-7054J
Journal ID: ISSN 0898-1221; S0898122116300293; PII: S0898122116300293
Grant/Contract Number:  
14-017511; AC04-94AL85000
Resource Type:
Published Article
Journal Name:
Computers and Mathematics with Applications (Oxford)
Additional Journal Information:
Journal Name: Computers and Mathematics with Applications (Oxford) Journal Volume: 71 Journal Issue: 11; Journal ID: ISSN 0898-1221
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; least-squares; mimetic methods; spectral element method; mass conservation

Citation Formats

Gerritsma, Marc, and Bochev, Pavel. A spectral mimetic least-squares method for the Stokes equations with no-slip boundary condition. United Kingdom: N. p., 2016. Web. doi:10.1016/j.camwa.2016.01.033.
Gerritsma, Marc, & Bochev, Pavel. A spectral mimetic least-squares method for the Stokes equations with no-slip boundary condition. United Kingdom. https://doi.org/10.1016/j.camwa.2016.01.033
Gerritsma, Marc, and Bochev, Pavel. Wed . "A spectral mimetic least-squares method for the Stokes equations with no-slip boundary condition". United Kingdom. https://doi.org/10.1016/j.camwa.2016.01.033.
@article{osti_1631365,
title = {A spectral mimetic least-squares method for the Stokes equations with no-slip boundary condition},
author = {Gerritsma, Marc and Bochev, Pavel},
abstractNote = {Formulation of locally conservative least-squares finite element methods (LSFEMs) for the Stokes equations with the no-slip boundary condition has been a long standing problem. Existing LSFEMs that yield exactly divergence free velocities require non-standard boundary conditions (Bochev and Gunzburger, 2009 [3]), while methods that admit the no-slip condition satisfy the incompressibility equation only approximately (Bochev and Gunzburger, 2009 [4, Chapter 7]). Here we address this problem by proving a new non-standard stability bound for the velocity–vorticity–pressure Stokes system augmented with a no-slip boundary condition. This bound gives rise to a norm-equivalent least-squares functional in which the velocity can be approximated by div-conforming finite element spaces, thereby enabling a locally-conservative approximations of this variable. Here, we also provide a practical realization of the new LSFEM using high-order spectral mimetic finite element spaces (Kreeft et al., 2011) and report several numerical tests, which confirm its mimetic properties.},
doi = {10.1016/j.camwa.2016.01.033},
journal = {Computers and Mathematics with Applications (Oxford)},
number = 11,
volume = 71,
place = {United Kingdom},
year = {Wed Jun 01 00:00:00 EDT 2016},
month = {Wed Jun 01 00:00:00 EDT 2016}
}

Journal Article:
Free Publicly Available Full Text
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https://doi.org/10.1016/j.camwa.2016.01.033

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