No Cover Image

Journal article 507 views 205 downloads

Towards non-intrusive reduced order 3D free surface flow modelling

D. Xiao, F. Fang, C.C. Pain, I.M. Navon, Dunhui Xiao Orcid Logo

Ocean Engineering, Volume: 140, Pages: 155 - 168

Swansea University Author: Dunhui Xiao Orcid Logo

Abstract

In this article, we describe a novel non-intrusive reduction model for three-dimensional (3D) free surface flows. However, in this work we limit the vertical resolution to be a single element. So, although it does resolve some non-hydrostatic effects, it does not examine the application of reduced m...

Full description

Published in: Ocean Engineering
ISSN: 0029-8018
Published: 2017
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa46455
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2018-12-06T20:27:45Z
last_indexed 2023-01-11T14:23:17Z
id cronfa46455
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-09-27T16:56:53.6100511</datestamp><bib-version>v2</bib-version><id>46455</id><entry>2018-12-06</entry><title>Towards non-intrusive reduced order 3D free surface flow modelling</title><swanseaauthors><author><sid>62c69b98cbcdc9142622d4f398fdab97</sid><ORCID>0000-0003-2461-523X</ORCID><firstname>Dunhui</firstname><surname>Xiao</surname><name>Dunhui Xiao</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-12-06</date><deptcode>AERO</deptcode><abstract>In this article, we describe a novel non-intrusive reduction model for three-dimensional (3D) free surface flows. However, in this work we limit the vertical resolution to be a single element. So, although it does resolve some non-hydrostatic effects, it does not examine the application of reduced modelling to full 3D free surface flows, but it is an important step towards 3D modelling. A newly developed non-intrusive reduced order model (NIROM) (Xiao et al., 2015a) has been used in this work. Rather than taking the standard POD approach using the Galerkin projection, a Smolyak sparse grid interpolation method is employed to generate the NIROM. A set of interpolation functions is constructed to calculate the POD coefficients, where the POD coefficients at previous time steps are the inputs of the interpolation function. Therefore, this model is non-intrusive and does not require modifications to the code of the full system and is easy to implement.</abstract><type>Journal Article</type><journal>Ocean Engineering</journal><volume>140</volume><journalNumber/><paginationStart>155</paginationStart><paginationEnd>168</paginationEnd><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0029-8018</issnPrint><issnElectronic/><keywords/><publishedDay>1</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-08-01</publishedDate><doi>10.1016/j.oceaneng.2017.05.020</doi><url/><notes/><college>COLLEGE NANME</college><department>Aerospace Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>AERO</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-09-27T16:56:53.6100511</lastEdited><Created>2018-12-06T14:52:17.6277074</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering</level></path><authors><author><firstname>D.</firstname><surname>Xiao</surname><order>1</order></author><author><firstname>F.</firstname><surname>Fang</surname><order>2</order></author><author><firstname>C.C.</firstname><surname>Pain</surname><order>3</order></author><author><firstname>I.M.</firstname><surname>Navon</surname><order>4</order></author><author><firstname>Dunhui</firstname><surname>Xiao</surname><orcid>0000-0003-2461-523X</orcid><order>5</order></author></authors><documents><document><filename>0046455-13122018163916.pdf</filename><originalFilename>fs.pdf</originalFilename><uploaded>2018-12-13T16:39:16.3300000</uploaded><type>Output</type><contentLength>1693149</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-12-13T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2022-09-27T16:56:53.6100511 v2 46455 2018-12-06 Towards non-intrusive reduced order 3D free surface flow modelling 62c69b98cbcdc9142622d4f398fdab97 0000-0003-2461-523X Dunhui Xiao Dunhui Xiao true false 2018-12-06 AERO In this article, we describe a novel non-intrusive reduction model for three-dimensional (3D) free surface flows. However, in this work we limit the vertical resolution to be a single element. So, although it does resolve some non-hydrostatic effects, it does not examine the application of reduced modelling to full 3D free surface flows, but it is an important step towards 3D modelling. A newly developed non-intrusive reduced order model (NIROM) (Xiao et al., 2015a) has been used in this work. Rather than taking the standard POD approach using the Galerkin projection, a Smolyak sparse grid interpolation method is employed to generate the NIROM. A set of interpolation functions is constructed to calculate the POD coefficients, where the POD coefficients at previous time steps are the inputs of the interpolation function. Therefore, this model is non-intrusive and does not require modifications to the code of the full system and is easy to implement. Journal Article Ocean Engineering 140 155 168 0029-8018 1 8 2017 2017-08-01 10.1016/j.oceaneng.2017.05.020 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University 2022-09-27T16:56:53.6100511 2018-12-06T14:52:17.6277074 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering D. Xiao 1 F. Fang 2 C.C. Pain 3 I.M. Navon 4 Dunhui Xiao 0000-0003-2461-523X 5 0046455-13122018163916.pdf fs.pdf 2018-12-13T16:39:16.3300000 Output 1693149 application/pdf Accepted Manuscript true 2018-12-13T00:00:00.0000000 true eng
title Towards non-intrusive reduced order 3D free surface flow modelling
spellingShingle Towards non-intrusive reduced order 3D free surface flow modelling
Dunhui Xiao
title_short Towards non-intrusive reduced order 3D free surface flow modelling
title_full Towards non-intrusive reduced order 3D free surface flow modelling
title_fullStr Towards non-intrusive reduced order 3D free surface flow modelling
title_full_unstemmed Towards non-intrusive reduced order 3D free surface flow modelling
title_sort Towards non-intrusive reduced order 3D free surface flow modelling
author_id_str_mv 62c69b98cbcdc9142622d4f398fdab97
author_id_fullname_str_mv 62c69b98cbcdc9142622d4f398fdab97_***_Dunhui Xiao
author Dunhui Xiao
author2 D. Xiao
F. Fang
C.C. Pain
I.M. Navon
Dunhui Xiao
format Journal article
container_title Ocean Engineering
container_volume 140
container_start_page 155
publishDate 2017
institution Swansea University
issn 0029-8018
doi_str_mv 10.1016/j.oceaneng.2017.05.020
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 - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 1
active_str 0
description In this article, we describe a novel non-intrusive reduction model for three-dimensional (3D) free surface flows. However, in this work we limit the vertical resolution to be a single element. So, although it does resolve some non-hydrostatic effects, it does not examine the application of reduced modelling to full 3D free surface flows, but it is an important step towards 3D modelling. A newly developed non-intrusive reduced order model (NIROM) (Xiao et al., 2015a) has been used in this work. Rather than taking the standard POD approach using the Galerkin projection, a Smolyak sparse grid interpolation method is employed to generate the NIROM. A set of interpolation functions is constructed to calculate the POD coefficients, where the POD coefficients at previous time steps are the inputs of the interpolation function. Therefore, this model is non-intrusive and does not require modifications to the code of the full system and is easy to implement.
published_date 2017-08-01T03:58:02Z
_version_ 1763752943386886144
score 11.012678