Journal article 897 views 249 downloads
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM
Computer Physics Communications, Volume: 249, Start page: 107013
Swansea University Author: Rubén Sevilla
-
PDF | Accepted Manuscript
Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND).
Download (13.38MB)
DOI (Published version): 10.1016/j.cpc.2019.107013
Abstract
The computational cost of parametric studies currently represents the major limitation to the application of simulation-based engineering techniques in a daily industrial environment. This work presents the first nonintrusive implementation of the proper generalised decomposition (PGD) in OpenFOAM,...
Published in: | Computer Physics Communications |
---|---|
ISSN: | 0010-4655 |
Published: |
Elsevier BV
2020
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa52617 |
first_indexed |
2019-10-31T13:18:31Z |
---|---|
last_indexed |
2023-02-23T04:04:39Z |
id |
cronfa52617 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2023-02-22T15:50:43.3820737</datestamp><bib-version>v2</bib-version><id>52617</id><entry>2019-10-31</entry><title>Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM</title><swanseaauthors><author><sid>b542c87f1b891262844e95a682f045b6</sid><ORCID>0000-0002-0061-6214</ORCID><firstname>Rubén</firstname><surname>Sevilla</surname><name>Rubén Sevilla</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-10-31</date><deptcode>ACEM</deptcode><abstract>The computational cost of parametric studies currently represents the major limitation to the application of simulation-based engineering techniques in a daily industrial environment. This work presents the first nonintrusive implementation of the proper generalised decomposition (PGD) in OpenFOAM, for the approximation of parametrised laminar incompressible Navier–Stokes equations. The key feature of this approach is the seamless integration of a reduced order model (ROM) in the framework of an industrially validated computational fluid dynamics software. This is of special importance in an industrial environment because in the online phase of the PGD ROM the description of the flow for a specific set of parameters is obtained simply via interpolation of the generalised solution, without the need of any extra solution step. On the one hand, the spatial problems arising from the PGD separation of the unknowns are treated using the classical solution strategies of OpenFOAM, namely the semi-implicit method for pressure linked equations (SIMPLE) algorithm. On the other hand, the parametric iteration is solved via a collocation approach. The resulting ROM is applied to several benchmark tests of laminar incompressible Navier–Stokes flows, in two and three dimensions, with different parameters affecting the flow features. Eventually, the capability of the proposed strategy to treat industrial problems is verified by applying the methodology to a parametrised flow control in a realistic geometry of interest for the automotive industry.</abstract><type>Journal Article</type><journal>Computer Physics Communications</journal><volume>249</volume><journalNumber/><paginationStart>107013</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0010-4655</issnPrint><issnElectronic/><keywords>Reduced order models; Proper generalised decomposition; Finite volume; Incompressible laminar Navier–Stokes; Pressure Poisson equation; Parametrised flows; OpenFOAM; Nonintrusiveness</keywords><publishedDay>1</publishedDay><publishedMonth>4</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-04-01</publishedDate><doi>10.1016/j.cpc.2019.107013</doi><url/><notes/><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-02-22T15:50:43.3820737</lastEdited><Created>2019-10-31T09:40:47.7613374</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering</level></path><authors><author><firstname>Vasileios</firstname><surname>Tsiolakis</surname><order>1</order></author><author><firstname>Matteo</firstname><surname>Giacomini</surname><order>2</order></author><author><firstname>Rubén</firstname><surname>Sevilla</surname><orcid>0000-0002-0061-6214</orcid><order>3</order></author><author><firstname>Carsten</firstname><surname>Othmer</surname><order>4</order></author><author><firstname>Antonio</firstname><surname>Huerta</surname><order>5</order></author></authors><documents><document><filename>52617__15761__4de23a5b1f454d0b95e9412563bcf5cf.pdf</filename><originalFilename>tsiolakis2019.pdf</originalFilename><uploaded>2019-10-31T12:01:49.2980029</uploaded><type>Output</type><contentLength>14031053</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2020-11-06T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
spelling |
2023-02-22T15:50:43.3820737 v2 52617 2019-10-31 Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM b542c87f1b891262844e95a682f045b6 0000-0002-0061-6214 Rubén Sevilla Rubén Sevilla true false 2019-10-31 ACEM The computational cost of parametric studies currently represents the major limitation to the application of simulation-based engineering techniques in a daily industrial environment. This work presents the first nonintrusive implementation of the proper generalised decomposition (PGD) in OpenFOAM, for the approximation of parametrised laminar incompressible Navier–Stokes equations. The key feature of this approach is the seamless integration of a reduced order model (ROM) in the framework of an industrially validated computational fluid dynamics software. This is of special importance in an industrial environment because in the online phase of the PGD ROM the description of the flow for a specific set of parameters is obtained simply via interpolation of the generalised solution, without the need of any extra solution step. On the one hand, the spatial problems arising from the PGD separation of the unknowns are treated using the classical solution strategies of OpenFOAM, namely the semi-implicit method for pressure linked equations (SIMPLE) algorithm. On the other hand, the parametric iteration is solved via a collocation approach. The resulting ROM is applied to several benchmark tests of laminar incompressible Navier–Stokes flows, in two and three dimensions, with different parameters affecting the flow features. Eventually, the capability of the proposed strategy to treat industrial problems is verified by applying the methodology to a parametrised flow control in a realistic geometry of interest for the automotive industry. Journal Article Computer Physics Communications 249 107013 Elsevier BV 0010-4655 Reduced order models; Proper generalised decomposition; Finite volume; Incompressible laminar Navier–Stokes; Pressure Poisson equation; Parametrised flows; OpenFOAM; Nonintrusiveness 1 4 2020 2020-04-01 10.1016/j.cpc.2019.107013 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2023-02-22T15:50:43.3820737 2019-10-31T09:40:47.7613374 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Vasileios Tsiolakis 1 Matteo Giacomini 2 Rubén Sevilla 0000-0002-0061-6214 3 Carsten Othmer 4 Antonio Huerta 5 52617__15761__4de23a5b1f454d0b95e9412563bcf5cf.pdf tsiolakis2019.pdf 2019-10-31T12:01:49.2980029 Output 14031053 application/pdf Accepted Manuscript true 2020-11-06T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng http://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM |
spellingShingle |
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM Rubén Sevilla |
title_short |
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM |
title_full |
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM |
title_fullStr |
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM |
title_full_unstemmed |
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM |
title_sort |
Nonintrusive proper generalised decomposition for parametrised incompressible flow problems in OpenFOAM |
author_id_str_mv |
b542c87f1b891262844e95a682f045b6 |
author_id_fullname_str_mv |
b542c87f1b891262844e95a682f045b6_***_Rubén Sevilla |
author |
Rubén Sevilla |
author2 |
Vasileios Tsiolakis Matteo Giacomini Rubén Sevilla Carsten Othmer Antonio Huerta |
format |
Journal article |
container_title |
Computer Physics Communications |
container_volume |
249 |
container_start_page |
107013 |
publishDate |
2020 |
institution |
Swansea University |
issn |
0010-4655 |
doi_str_mv |
10.1016/j.cpc.2019.107013 |
publisher |
Elsevier BV |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
document_store_str |
1 |
active_str |
0 |
description |
The computational cost of parametric studies currently represents the major limitation to the application of simulation-based engineering techniques in a daily industrial environment. This work presents the first nonintrusive implementation of the proper generalised decomposition (PGD) in OpenFOAM, for the approximation of parametrised laminar incompressible Navier–Stokes equations. The key feature of this approach is the seamless integration of a reduced order model (ROM) in the framework of an industrially validated computational fluid dynamics software. This is of special importance in an industrial environment because in the online phase of the PGD ROM the description of the flow for a specific set of parameters is obtained simply via interpolation of the generalised solution, without the need of any extra solution step. On the one hand, the spatial problems arising from the PGD separation of the unknowns are treated using the classical solution strategies of OpenFOAM, namely the semi-implicit method for pressure linked equations (SIMPLE) algorithm. On the other hand, the parametric iteration is solved via a collocation approach. The resulting ROM is applied to several benchmark tests of laminar incompressible Navier–Stokes flows, in two and three dimensions, with different parameters affecting the flow features. Eventually, the capability of the proposed strategy to treat industrial problems is verified by applying the methodology to a parametrised flow control in a realistic geometry of interest for the automotive industry. |
published_date |
2020-04-01T13:56:46Z |
_version_ |
1821414058366074880 |
score |
11.247077 |