On the robustness and performance of entropy stable collocated discontinuous Galerkin methods
•Comparison of split form and entropy stable discontinuous Galerkin methods.•Test cases of increased difficulty.•Robustness for under-resolved turbulent flows and flows with discontinuities. In computational fluid dynamics, the demand for increasingly multidisciplinary reliable simulations, for both...
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Veröffentlicht in: | Journal of computational physics 2021-02, Vol.426, p.109891, Article 109891 |
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container_title | Journal of computational physics |
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creator | Rojas, Diego Boukharfane, Radouan Dalcin, Lisandro Del Rey Fernández, David C. Ranocha, Hendrik Keyes, David E. Parsani, Matteo |
description | •Comparison of split form and entropy stable discontinuous Galerkin methods.•Test cases of increased difficulty.•Robustness for under-resolved turbulent flows and flows with discontinuities.
In computational fluid dynamics, the demand for increasingly multidisciplinary reliable simulations, for both analysis and design optimization purposes, requires transformational advances in individual components of future solvers. At the algorithmic level, hardware compatibility and efficiency are of paramount importance in determining viability at exascale and beyond. However, equally important (if not more so) is algorithmic robustness with minimal user intervention, which becomes progressively more challenging to achieve as problem size and physics complexity increase. We numerically show that low and high order entropy stable collocated discontinuous Galerkin discretizations based on summation-by-part operators and simultaneous-approximation-terms technique provide an essential step toward a truly enabling technology in terms of reliability and robustness for both under-resolved turbulent flow simulations and flows with discontinuities. |
doi_str_mv | 10.1016/j.jcp.2020.109891 |
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In computational fluid dynamics, the demand for increasingly multidisciplinary reliable simulations, for both analysis and design optimization purposes, requires transformational advances in individual components of future solvers. At the algorithmic level, hardware compatibility and efficiency are of paramount importance in determining viability at exascale and beyond. However, equally important (if not more so) is algorithmic robustness with minimal user intervention, which becomes progressively more challenging to achieve as problem size and physics complexity increase. We numerically show that low and high order entropy stable collocated discontinuous Galerkin discretizations based on summation-by-part operators and simultaneous-approximation-terms technique provide an essential step toward a truly enabling technology in terms of reliability and robustness for both under-resolved turbulent flow simulations and flows with discontinuities.</description><identifier>ISSN: 0021-9991</identifier><identifier>EISSN: 1090-2716</identifier><identifier>DOI: 10.1016/j.jcp.2020.109891</identifier><language>eng</language><publisher>Cambridge: Elsevier Inc</publisher><subject>Algorithms ; Collocated discontinuous Galerkin ; Compressible Navier–Stokes equations ; Computational fluid dynamics ; Computational physics ; Design optimization ; Discontinuity ; Entropy ; Entropy stability ; Flow simulation ; Fluid flow ; Galerkin method ; Non-smooth flows ; Robustness (mathematics) ; Turbulent flow ; Under-resolved turbulence</subject><ispartof>Journal of computational physics, 2021-02, Vol.426, p.109891, Article 109891</ispartof><rights>2020 Elsevier Inc.</rights><rights>Copyright Elsevier Science Ltd. Feb 1, 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-128fffa6f15a3d05c0f657b098a3e197c71ed29af482a72593eb2942f9fcc0bf3</citedby><cites>FETCH-LOGICAL-c325t-128fffa6f15a3d05c0f657b098a3e197c71ed29af482a72593eb2942f9fcc0bf3</cites><orcidid>0000-0001-7300-1280 ; 0000-0002-5274-7320 ; 0000-0001-8086-0155 ; 0000-0002-4522-4062</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jcp.2020.109891$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Rojas, Diego</creatorcontrib><creatorcontrib>Boukharfane, Radouan</creatorcontrib><creatorcontrib>Dalcin, Lisandro</creatorcontrib><creatorcontrib>Del Rey Fernández, David C.</creatorcontrib><creatorcontrib>Ranocha, Hendrik</creatorcontrib><creatorcontrib>Keyes, David E.</creatorcontrib><creatorcontrib>Parsani, Matteo</creatorcontrib><title>On the robustness and performance of entropy stable collocated discontinuous Galerkin methods</title><title>Journal of computational physics</title><description>•Comparison of split form and entropy stable discontinuous Galerkin methods.•Test cases of increased difficulty.•Robustness for under-resolved turbulent flows and flows with discontinuities.
In computational fluid dynamics, the demand for increasingly multidisciplinary reliable simulations, for both analysis and design optimization purposes, requires transformational advances in individual components of future solvers. At the algorithmic level, hardware compatibility and efficiency are of paramount importance in determining viability at exascale and beyond. However, equally important (if not more so) is algorithmic robustness with minimal user intervention, which becomes progressively more challenging to achieve as problem size and physics complexity increase. We numerically show that low and high order entropy stable collocated discontinuous Galerkin discretizations based on summation-by-part operators and simultaneous-approximation-terms technique provide an essential step toward a truly enabling technology in terms of reliability and robustness for both under-resolved turbulent flow simulations and flows with discontinuities.</description><subject>Algorithms</subject><subject>Collocated discontinuous Galerkin</subject><subject>Compressible Navier–Stokes equations</subject><subject>Computational fluid dynamics</subject><subject>Computational physics</subject><subject>Design optimization</subject><subject>Discontinuity</subject><subject>Entropy</subject><subject>Entropy stability</subject><subject>Flow simulation</subject><subject>Fluid flow</subject><subject>Galerkin method</subject><subject>Non-smooth flows</subject><subject>Robustness (mathematics)</subject><subject>Turbulent flow</subject><subject>Under-resolved turbulence</subject><issn>0021-9991</issn><issn>1090-2716</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWKsfwFvA89Yk-zd4kqJVKPSiRwnZZEKzbpM1yQp-e1Pq2dPMwHszb34I3VKyooQ298NqUNOKEXacecfpGVrkhhSspc05WhDCaME5p5foKsaBENLVVbdAHzuH0x5w8P0ck4MYsXQaTxCMDwfpFGBvMLgU_PSDY5L9CFj5cfRKJtBY26i8S9bNfo54I0cIn9bhA6S91_EaXRg5Rrj5q0v0_vz0tn4ptrvN6_pxW6iS1amgrDPGyMbQWpaa1IqYpm77_IcsgfJWtRQ049JUHZMtq3kJPeMVM9woRXpTLtHdae8U_NcMMYnBz8Hlk4JVHSesbkqaVfSkUsHHGMCIKdiDDD-CEnGkKAaRKYojRXGimD0PJw_k-N8WgojKQsaibQCVhPb2H_cvmfN7xA</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Rojas, Diego</creator><creator>Boukharfane, Radouan</creator><creator>Dalcin, Lisandro</creator><creator>Del Rey Fernández, David C.</creator><creator>Ranocha, Hendrik</creator><creator>Keyes, David E.</creator><creator>Parsani, Matteo</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-7300-1280</orcidid><orcidid>https://orcid.org/0000-0002-5274-7320</orcidid><orcidid>https://orcid.org/0000-0001-8086-0155</orcidid><orcidid>https://orcid.org/0000-0002-4522-4062</orcidid></search><sort><creationdate>20210201</creationdate><title>On the robustness and performance of entropy stable collocated discontinuous Galerkin methods</title><author>Rojas, Diego ; 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In computational fluid dynamics, the demand for increasingly multidisciplinary reliable simulations, for both analysis and design optimization purposes, requires transformational advances in individual components of future solvers. At the algorithmic level, hardware compatibility and efficiency are of paramount importance in determining viability at exascale and beyond. However, equally important (if not more so) is algorithmic robustness with minimal user intervention, which becomes progressively more challenging to achieve as problem size and physics complexity increase. We numerically show that low and high order entropy stable collocated discontinuous Galerkin discretizations based on summation-by-part operators and simultaneous-approximation-terms technique provide an essential step toward a truly enabling technology in terms of reliability and robustness for both under-resolved turbulent flow simulations and flows with discontinuities.</abstract><cop>Cambridge</cop><pub>Elsevier Inc</pub><doi>10.1016/j.jcp.2020.109891</doi><orcidid>https://orcid.org/0000-0001-7300-1280</orcidid><orcidid>https://orcid.org/0000-0002-5274-7320</orcidid><orcidid>https://orcid.org/0000-0001-8086-0155</orcidid><orcidid>https://orcid.org/0000-0002-4522-4062</orcidid></addata></record> |
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subjects | Algorithms Collocated discontinuous Galerkin Compressible Navier–Stokes equations Computational fluid dynamics Computational physics Design optimization Discontinuity Entropy Entropy stability Flow simulation Fluid flow Galerkin method Non-smooth flows Robustness (mathematics) Turbulent flow Under-resolved turbulence |
title | On the robustness and performance of entropy stable collocated discontinuous Galerkin methods |
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