Global POD-Galerkin ROMs for Fluid Flows with Moving Solid Structures
Traditional proper orthogonal decomposition (POD)-Galerkin projection for reduced-order models (ROMs) of fluid flows is based on a fixed domain. The current method removes this limitation by considering a single combined domain of fluid and solid, whereas the original solid boundary conditions are r...
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description | Traditional proper orthogonal decomposition (POD)-Galerkin projection for reduced-order models (ROMs) of fluid flows is based on a fixed domain. The current method removes this limitation by considering a single combined domain of fluid and solid, whereas the original solid boundary conditions are reinforced by additional ROM terms. The combined domain requires a new inner product defined in the same combined domain to compute POD modes and the projection of equations. Solid motion is considered first as a continuous motion, then a decomposed motion, represented by a few solid modes to further reduce the computational cost. This new global approach was applied first on a two-dimensional direct numerical simulation (DNS) database of the flow past an oscillatory cylinder, and then on a three-dimensional DNS database of the flow past an oscillatory sphere. Last, the approach was applied on a high-resolution particle image velocimetry database from an experiment at higher Reynolds number of the flow past a pitching-up NACA0012 airfoil. The ROMs derived by the global POD-Galerkin projection approach, for all three moving-boundary cases, have shown adequate accuracy in the reconstruction of flow fields and the prediction of key aerodynamic features while keeping very low computational costs. |
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The current method removes this limitation by considering a single combined domain of fluid and solid, whereas the original solid boundary conditions are reinforced by additional ROM terms. The combined domain requires a new inner product defined in the same combined domain to compute POD modes and the projection of equations. Solid motion is considered first as a continuous motion, then a decomposed motion, represented by a few solid modes to further reduce the computational cost. This new global approach was applied first on a two-dimensional direct numerical simulation (DNS) database of the flow past an oscillatory cylinder, and then on a three-dimensional DNS database of the flow past an oscillatory sphere. Last, the approach was applied on a high-resolution particle image velocimetry database from an experiment at higher Reynolds number of the flow past a pitching-up NACA0012 airfoil. The ROMs derived by the global POD-Galerkin projection approach, for all three moving-boundary cases, have shown adequate accuracy in the reconstruction of flow fields and the prediction of key aerodynamic features while keeping very low computational costs.</description><identifier>ISSN: 0001-1452</identifier><identifier>EISSN: 1533-385X</identifier><identifier>DOI: 10.2514/1.J060795</identifier><language>eng</language><publisher>Virginia: American Institute of Aeronautics and Astronautics</publisher><subject>Boundary conditions ; Computing costs ; Decomposition ; Direct numerical simulation ; Domain names ; Fluid dynamics ; Fluid flow ; Forecasting ; Galerkin method ; Image resolution ; Mathematical models ; Particle image velocimetry ; Proper Orthogonal Decomposition ; Reduced order models ; Reynolds number</subject><ispartof>AIAA journal, 2022-03, Vol.60 (3), p.1400-1414</ispartof><rights>Copyright © 2021 by the authors. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. All requests for copying and permission to reprint should be submitted to CCC at ; employ the eISSN to initiate your request. See also AIAA Rights and Permissions .</rights><rights>Copyright © 2021 by the authors. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-385X to initiate your request. 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The current method removes this limitation by considering a single combined domain of fluid and solid, whereas the original solid boundary conditions are reinforced by additional ROM terms. The combined domain requires a new inner product defined in the same combined domain to compute POD modes and the projection of equations. Solid motion is considered first as a continuous motion, then a decomposed motion, represented by a few solid modes to further reduce the computational cost. This new global approach was applied first on a two-dimensional direct numerical simulation (DNS) database of the flow past an oscillatory cylinder, and then on a three-dimensional DNS database of the flow past an oscillatory sphere. Last, the approach was applied on a high-resolution particle image velocimetry database from an experiment at higher Reynolds number of the flow past a pitching-up NACA0012 airfoil. The ROMs derived by the global POD-Galerkin projection approach, for all three moving-boundary cases, have shown adequate accuracy in the reconstruction of flow fields and the prediction of key aerodynamic features while keeping very low computational costs.</description><subject>Boundary conditions</subject><subject>Computing costs</subject><subject>Decomposition</subject><subject>Direct numerical simulation</subject><subject>Domain names</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Forecasting</subject><subject>Galerkin method</subject><subject>Image resolution</subject><subject>Mathematical models</subject><subject>Particle image velocimetry</subject><subject>Proper Orthogonal Decomposition</subject><subject>Reduced order models</subject><subject>Reynolds number</subject><issn>0001-1452</issn><issn>1533-385X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNplkEFLAzEQhYMoWKsH_0FAEDxsTTJJdvcota1Ky4pV8Bay3US3rk2b7Fr890Za8OBlhnl8vHk8hM4pGTBB-TUdPBBJ0lwcoB4VAAlk4vUQ9QghNKFcsGN0EsIyXizNaA-NJo0rdYMfi9tkohvjP-oVfipmAVvn8bjp6ipOtw14W7fveOa-6tUbnrsm6vPWd4u28yacoiOrm2DO9ruPXsaj5-FdMi0m98ObaaIZgTbJcptqtigNSC5zy3melqDTjJQVqxg3KWQahCVRjtENMUJWYK3kFeR5ZiX00cXOd-3dpjOhVUvX-VV8qZgELolgAJG62lEL70Lwxqq1rz-1_1aUqN-WFFX7liJ7uWN1rfWf23_wBx_JYwk</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Xu, Bolun</creator><creator>Gao, Haotian</creator><creator>Wei, Mingjun</creator><creator>Hrynuk, John</creator><general>American Institute of Aeronautics and Astronautics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-7757-2355</orcidid></search><sort><creationdate>20220301</creationdate><title>Global POD-Galerkin ROMs for Fluid Flows with Moving Solid Structures</title><author>Xu, Bolun ; Gao, Haotian ; Wei, Mingjun ; Hrynuk, John</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a203t-89f7a2cbe36469f4497b3a780bd2d24e738a35f097b533e0e56d3ff64d3998f63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Boundary conditions</topic><topic>Computing costs</topic><topic>Decomposition</topic><topic>Direct numerical simulation</topic><topic>Domain names</topic><topic>Fluid dynamics</topic><topic>Fluid flow</topic><topic>Forecasting</topic><topic>Galerkin method</topic><topic>Image resolution</topic><topic>Mathematical models</topic><topic>Particle image velocimetry</topic><topic>Proper Orthogonal Decomposition</topic><topic>Reduced order models</topic><topic>Reynolds number</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Bolun</creatorcontrib><creatorcontrib>Gao, Haotian</creatorcontrib><creatorcontrib>Wei, Mingjun</creatorcontrib><creatorcontrib>Hrynuk, John</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>AIAA journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Bolun</au><au>Gao, Haotian</au><au>Wei, Mingjun</au><au>Hrynuk, John</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global POD-Galerkin ROMs for Fluid Flows with Moving Solid Structures</atitle><jtitle>AIAA journal</jtitle><date>2022-03-01</date><risdate>2022</risdate><volume>60</volume><issue>3</issue><spage>1400</spage><epage>1414</epage><pages>1400-1414</pages><issn>0001-1452</issn><eissn>1533-385X</eissn><abstract>Traditional proper orthogonal decomposition (POD)-Galerkin projection for reduced-order models (ROMs) of fluid flows is based on a fixed domain. The current method removes this limitation by considering a single combined domain of fluid and solid, whereas the original solid boundary conditions are reinforced by additional ROM terms. The combined domain requires a new inner product defined in the same combined domain to compute POD modes and the projection of equations. Solid motion is considered first as a continuous motion, then a decomposed motion, represented by a few solid modes to further reduce the computational cost. This new global approach was applied first on a two-dimensional direct numerical simulation (DNS) database of the flow past an oscillatory cylinder, and then on a three-dimensional DNS database of the flow past an oscillatory sphere. Last, the approach was applied on a high-resolution particle image velocimetry database from an experiment at higher Reynolds number of the flow past a pitching-up NACA0012 airfoil. 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subjects | Boundary conditions Computing costs Decomposition Direct numerical simulation Domain names Fluid dynamics Fluid flow Forecasting Galerkin method Image resolution Mathematical models Particle image velocimetry Proper Orthogonal Decomposition Reduced order models Reynolds number |
title | Global POD-Galerkin ROMs for Fluid Flows with Moving Solid Structures |
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