No Cover Image

Journal article 935 views 97 downloads

A new Jameson–Schmidt–Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics

Chun Hean Lee Orcid Logo, Antonio Gil Orcid Logo, Giorgio Greto, Sivakumar Kulasegaram, Javier Bonet

Computer Methods in Applied Mechanics and Engineering, Volume: 311, Pages: 71 - 111

Swansea University Authors: Chun Hean Lee Orcid Logo, Antonio Gil Orcid Logo

  • lee2016(2).pdf

    PDF | Accepted Manuscript

    Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND).

    Download (14.48MB)

Abstract

This paper presents a new Smooth Particle Hydrodynamics (SPH) computational framework for large strain explicit solid dynamics. A mixed-based set of Total Lagrangian conservation laws (Bonet et al., 2015; Gil et al., 2016) is presented in terms of the linear momentum and an extended set of geometric...

Full description

Published in: Computer Methods in Applied Mechanics and Engineering
ISSN: 0045-7825
Published: Elsevier BV 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa29459
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2016-08-04T18:58:29Z
last_indexed 2020-06-27T18:39:07Z
id cronfa29459
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-06-27T16:03:57.4203106</datestamp><bib-version>v2</bib-version><id>29459</id><entry>2016-08-04</entry><title>A new Jameson&#x2013;Schmidt&#x2013;Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics</title><swanseaauthors><author><sid>e3024bdeee2dee48376c2a76b7147f2f</sid><ORCID>0000-0003-1102-3729</ORCID><firstname>Chun Hean</firstname><surname>Lee</surname><name>Chun Hean Lee</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>1f5666865d1c6de9469f8b7d0d6d30e2</sid><ORCID>0000-0001-7753-1414</ORCID><firstname>Antonio</firstname><surname>Gil</surname><name>Antonio Gil</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2016-08-04</date><deptcode>FGSEN</deptcode><abstract>This paper presents a new Smooth Particle Hydrodynamics (SPH) computational framework for large strain explicit solid dynamics. A mixed-based set of Total Lagrangian conservation laws (Bonet et al., 2015; Gil et al., 2016) is presented in terms of the linear momentum and an extended set of geometric strain measures, comprised of the deformation gradient, its co-factor and the Jacobian. Taking advantage of this representation, the main aim of this paper is the adaptation of the very efficient Jameson&#x2013;Schmidt&#x2013;Turkel (JST) algorithm (Jameson et al., 1981) extensively used in computational fluid dynamics, to a SPH based discretisation of the mixed-based set of conservation laws, with three key distinct novelties. First, a conservative JST-based SPH computational framework is presented with emphasis in nearly incompressible materials. Second, the suppression of numerical instabilities associated with the non-physical zero-energy modes is addressed through a well-established stabilisation procedure. Third, the use of a discrete angular momentum projection algorithm is presented in conjunction with a monolithic Total Variation Diminishing Runge-Kutta time integrator in order to guarantee the global conservation of angular momentum. For completeness, exact enforcement of essential boundary conditions is incorporated through the use of a Lagrange multiplier projection technique. A series of challenging numerical examples (e.g. in the near incompressibility regime) are examined in order to assess the robustness and accuracy of the proposed algorithm. The obtained results are benchmarked against a wide spectrum of alternative numerical strategies.</abstract><type>Journal Article</type><journal>Computer Methods in Applied Mechanics and Engineering</journal><volume>311</volume><paginationStart>71</paginationStart><paginationEnd>111</paginationEnd><publisher>Elsevier BV</publisher><issnPrint>0045-7825</issnPrint><keywords>Conservation laws; SPH; Instability; JST; Fast dynamics; Incompressibility</keywords><publishedDay>1</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2016</publishedYear><publishedDate>2016-11-01</publishedDate><doi>10.1016/j.cma.2016.07.033</doi><url/><notes/><college>COLLEGE NANME</college><department>Science and Engineering - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGSEN</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-06-27T16:03:57.4203106</lastEdited><Created>2016-08-04T13:39:42.4180669</Created><path><level id="1">College of Engineering</level><level id="2">Engineering</level></path><authors><author><firstname>Chun Hean</firstname><surname>Lee</surname><orcid>0000-0003-1102-3729</orcid><order>1</order></author><author><firstname>Antonio</firstname><surname>Gil</surname><orcid>0000-0001-7753-1414</orcid><order>2</order></author><author><firstname>Giorgio</firstname><surname>Greto</surname><order>3</order></author><author><firstname>Sivakumar</firstname><surname>Kulasegaram</surname><order>4</order></author><author><firstname>Javier</firstname><surname>Bonet</surname><order>5</order></author></authors><documents><document><filename>0029459-05082016085137.pdf</filename><originalFilename>lee2016(2).pdf</originalFilename><uploaded>2016-08-05T08:51:37.8370000</uploaded><type>Output</type><contentLength>15157810</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2017-08-03T00:00:00.0000000</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>English</language></document></documents><OutputDurs/></rfc1807>
spelling 2020-06-27T16:03:57.4203106 v2 29459 2016-08-04 A new Jameson–Schmidt–Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics e3024bdeee2dee48376c2a76b7147f2f 0000-0003-1102-3729 Chun Hean Lee Chun Hean Lee true false 1f5666865d1c6de9469f8b7d0d6d30e2 0000-0001-7753-1414 Antonio Gil Antonio Gil true false 2016-08-04 FGSEN This paper presents a new Smooth Particle Hydrodynamics (SPH) computational framework for large strain explicit solid dynamics. A mixed-based set of Total Lagrangian conservation laws (Bonet et al., 2015; Gil et al., 2016) is presented in terms of the linear momentum and an extended set of geometric strain measures, comprised of the deformation gradient, its co-factor and the Jacobian. Taking advantage of this representation, the main aim of this paper is the adaptation of the very efficient Jameson–Schmidt–Turkel (JST) algorithm (Jameson et al., 1981) extensively used in computational fluid dynamics, to a SPH based discretisation of the mixed-based set of conservation laws, with three key distinct novelties. First, a conservative JST-based SPH computational framework is presented with emphasis in nearly incompressible materials. Second, the suppression of numerical instabilities associated with the non-physical zero-energy modes is addressed through a well-established stabilisation procedure. Third, the use of a discrete angular momentum projection algorithm is presented in conjunction with a monolithic Total Variation Diminishing Runge-Kutta time integrator in order to guarantee the global conservation of angular momentum. For completeness, exact enforcement of essential boundary conditions is incorporated through the use of a Lagrange multiplier projection technique. A series of challenging numerical examples (e.g. in the near incompressibility regime) are examined in order to assess the robustness and accuracy of the proposed algorithm. The obtained results are benchmarked against a wide spectrum of alternative numerical strategies. Journal Article Computer Methods in Applied Mechanics and Engineering 311 71 111 Elsevier BV 0045-7825 Conservation laws; SPH; Instability; JST; Fast dynamics; Incompressibility 1 11 2016 2016-11-01 10.1016/j.cma.2016.07.033 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2020-06-27T16:03:57.4203106 2016-08-04T13:39:42.4180669 College of Engineering Engineering Chun Hean Lee 0000-0003-1102-3729 1 Antonio Gil 0000-0001-7753-1414 2 Giorgio Greto 3 Sivakumar Kulasegaram 4 Javier Bonet 5 0029459-05082016085137.pdf lee2016(2).pdf 2016-08-05T08:51:37.8370000 Output 15157810 application/pdf Accepted Manuscript true 2017-08-03T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true English
title A new Jameson–Schmidt–Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics
spellingShingle A new Jameson–Schmidt–Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics
Chun Hean Lee
Antonio Gil
title_short A new Jameson–Schmidt–Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics
title_full A new Jameson–Schmidt–Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics
title_fullStr A new Jameson–Schmidt–Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics
title_full_unstemmed A new Jameson–Schmidt–Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics
title_sort A new Jameson–Schmidt–Turkel Smooth Particle Hydrodynamics algorithm for large strain explicit fast dynamics
author_id_str_mv e3024bdeee2dee48376c2a76b7147f2f
1f5666865d1c6de9469f8b7d0d6d30e2
author_id_fullname_str_mv e3024bdeee2dee48376c2a76b7147f2f_***_Chun Hean Lee
1f5666865d1c6de9469f8b7d0d6d30e2_***_Antonio Gil
author Chun Hean Lee
Antonio Gil
author2 Chun Hean Lee
Antonio Gil
Giorgio Greto
Sivakumar Kulasegaram
Javier Bonet
format Journal article
container_title Computer Methods in Applied Mechanics and Engineering
container_volume 311
container_start_page 71
publishDate 2016
institution Swansea University
issn 0045-7825
doi_str_mv 10.1016/j.cma.2016.07.033
publisher Elsevier BV
college_str College of Engineering
hierarchytype
hierarchy_top_id collegeofengineering
hierarchy_top_title College of Engineering
hierarchy_parent_id collegeofengineering
hierarchy_parent_title College of Engineering
department_str Engineering{{{_:::_}}}College of Engineering{{{_:::_}}}Engineering
document_store_str 1
active_str 0
description This paper presents a new Smooth Particle Hydrodynamics (SPH) computational framework for large strain explicit solid dynamics. A mixed-based set of Total Lagrangian conservation laws (Bonet et al., 2015; Gil et al., 2016) is presented in terms of the linear momentum and an extended set of geometric strain measures, comprised of the deformation gradient, its co-factor and the Jacobian. Taking advantage of this representation, the main aim of this paper is the adaptation of the very efficient Jameson–Schmidt–Turkel (JST) algorithm (Jameson et al., 1981) extensively used in computational fluid dynamics, to a SPH based discretisation of the mixed-based set of conservation laws, with three key distinct novelties. First, a conservative JST-based SPH computational framework is presented with emphasis in nearly incompressible materials. Second, the suppression of numerical instabilities associated with the non-physical zero-energy modes is addressed through a well-established stabilisation procedure. Third, the use of a discrete angular momentum projection algorithm is presented in conjunction with a monolithic Total Variation Diminishing Runge-Kutta time integrator in order to guarantee the global conservation of angular momentum. For completeness, exact enforcement of essential boundary conditions is incorporated through the use of a Lagrange multiplier projection technique. A series of challenging numerical examples (e.g. in the near incompressibility regime) are examined in order to assess the robustness and accuracy of the proposed algorithm. The obtained results are benchmarked against a wide spectrum of alternative numerical strategies.
published_date 2016-11-01T03:41:01Z
_version_ 1737025767268679680
score 10.88812