dc.contributor.author | Yano, Masayuki | |
dc.date.accessioned | 2014-07-08T16:22:36Z | |
dc.date.available | 2014-07-08T16:22:36Z | |
dc.date.issued | 2014-02 | |
dc.date.submitted | 2013-11 | |
dc.identifier.issn | 1064-8275 | |
dc.identifier.issn | 1095-7197 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/88191 | |
dc.description.abstract | We present a space-time certified reduced basis method for long-time integration of parametrized parabolic equations with quadratic nonlinearity which admit an affine decomposition in parameter but with no restriction on coercivity of the linearized operator. We first consider a finite element discretization based on discontinuous Galerkin time integration and introduce associated Petrov--Galerkin space-time trial- and test-space norms that yield optimal and asymptotically mesh independent stability constants. We then employ an $hp$ Petrov--Galerkin (or minimum residual) space-time reduced basis approximation. We provide the Brezzi--Rappaz--Raviart a posteriori error bounds which admit efficient offline-online computational procedures for the three key ingredients: the dual norm of the residual, an inf-sup lower bound, and the Sobolev embedding constant. The latter are based, respectively, on a more round-off resistant residual norm evaluation procedure, a variant of the successive constraint method, and a time-marching implementation of a fixed-point iteration of the embedding constant for the discontinuous Galerkin norm. Finally, we apply the method to a natural convection problem governed by the Boussinesq equations. The result indicates that the space-time formulation enables rapid and certified characterization of moderate-Grashof-number flows exhibiting steady periodic responses. However, the space-time reduced basis convergence is slow, and the Brezzi--Rappaz--Raviart threshold condition is rather restrictive, such that offline effort will be acceptable only for very few parameters. | en_US |
dc.description.sponsorship | United States. Air Force Office of Scientific Research. Multidisciplinary University Research Initiative (Grant FA9550-09-1-0613) | en_US |
dc.description.sponsorship | United States. Office of Naval Research (Grant N00014-11-1-0713) | en_US |
dc.language.iso | en_US | |
dc.publisher | Society for Industrial and Applied Mathematics | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1137/120903300 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | Society for Industrial and Applied Mathematics | en_US |
dc.title | A Space-Time Petrov--Galerkin Certified Reduced Basis Method: Application to the Boussinesq Equations | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Yano, Masayuki. “A Space-Time Petrov--Galerkin Certified Reduced Basis Method: Application to the Boussinesq Equations.” SIAM Journal on Scientific Computing 36, no. 1 (February 20, 2014): A232–A266. © 2014, Society for Industrial and Applied Mathematics | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.mitauthor | Yano, Masayuki | en_US |
dc.relation.journal | SIAM Journal on Scientific Computing | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Yano, Masayuki | en_US |
dc.identifier.orcid | https://orcid.org/0000-0002-8323-9054 | |
mit.license | PUBLISHER_POLICY | en_US |
mit.metadata.status | Complete | |