{"id":5229,"date":"2021-01-04T10:58:12","date_gmt":"2021-01-04T09:58:12","guid":{"rendered":"https:\/\/www.mi.uni-koeln.de\/NumSim\/?p=5229"},"modified":"2021-01-04T10:58:12","modified_gmt":"2021-01-04T09:58:12","slug":"new-paper-submitted-an-entropy-stable-nodal-discontinuous-galerkin-method-for-the-resistive-mhd-equations-part-ii-subcell-finite-volume-shock-capturing","status":"publish","type":"post","link":"https:\/\/www.mi.uni-koeln.de\/NumSim\/2021\/01\/04\/new-paper-submitted-an-entropy-stable-nodal-discontinuous-galerkin-method-for-the-resistive-mhd-equations-part-ii-subcell-finite-volume-shock-capturing\/","title":{"rendered":"New paper submitted: An Entropy Stable Nodal Discontinuous Galerkin Method for the resistive MHD Equations. Part II: Subcell Finite Volume Shock Capturing"},"content":{"rendered":"<p>The second paper of this series presents two robust entropy stable shock-capturing methods for discontinuous Galerkin spectral element (DGSEM) discretizations of the compressible magneto-hydrodynamics (MHD) equations. Specifically, we use the resistive GLM-MHD equations, which include a divergence cleaning mechanism that is based on a generalized Lagrange multiplier (GLM). For the continuous entropy analysis to hold, and due to the divergence-free constraint on the magnetic field, the GLM-MHD system requires the use of non-conservative terms, which need special treatment.<\/p>\n<p>Hennemann et al. [DOI:<a class=\"link-https link-external\" href=\"https:\/\/arxiv.org\/ct?url=https%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.jcp.2020.109935&amp;v=31c3f2c5\" rel=\"external noopener nofollow\" data-doi=\"10.1016\/j.jcp.2020.109935\">10.1016\/j.jcp.2020.109935<\/a>] recently presented an entropy stable shock-capturing strategy for DGSEM discretizations of the Euler equations that blends the DGSEM scheme with a subcell first-order finite volume (FV) method. Our first contribution is the extension of the method of Hennemann et al. to systems with non-conservative terms, such as the GLM-MHD equations. In our approach, the advective and non-conservative terms of the equations are discretized with a hybrid FV\/DGSEM scheme, whereas the visco-resistive terms are discretized only with the high-order DGSEM method. We prove that the extended method is entropy stable on three-dimensional unstructured curvilinear meshes. Our second contribution is the derivation and analysis of a second entropy stable shock-capturing method that provides enhanced resolution by using a subcell reconstruction procedure that is carefully built to ensure entropy stability.<\/p>\n<p>We provide a numerical verification of the properties of the hybrid FV\/DGSEM schemes on curvilinear meshes and show their robustness and accuracy with common benchmark cases, such as the Orszag-Tang vortex and the GEM reconnection challenge. Finally, we simulate a space physics application: the interaction of Jupiter&#8217;s magnetic field with the plasma torus generated by the moon Io.<\/p>\n<p>Preprint available at: <a href=\"https:\/\/arxiv.org\/abs\/2012.12040\">arXiv:2012.12040<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The second paper of this series presents two robust entropy stable shock-capturing methods for discontinuous Galerkin spectral element (DGSEM) discretizations of the compressible magneto-hydrodynamics (MHD) equations. Specifically, we use the resistive GLM-MHD equations, which include a divergence cleaning mechanism that &hellip; <a href=\"https:\/\/www.mi.uni-koeln.de\/NumSim\/2021\/01\/04\/new-paper-submitted-an-entropy-stable-nodal-discontinuous-galerkin-method-for-the-resistive-mhd-equations-part-ii-subcell-finite-volume-shock-capturing\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/posts\/5229"}],"collection":[{"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/comments?post=5229"}],"version-history":[{"count":1,"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/posts\/5229\/revisions"}],"predecessor-version":[{"id":5230,"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/posts\/5229\/revisions\/5230"}],"wp:attachment":[{"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/media?parent=5229"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/categories?post=5229"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mi.uni-koeln.de\/NumSim\/wp-json\/wp\/v2\/tags?post=5229"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}