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A Total Lagrangian upwind Smooth Particle Hydrodynamics algorithm for large strain explicit solid dynamics / Chun Hean Lee; Antonio J. Gil; Ataollah Ghavamian; Javier Bonet

Computer Methods in Applied Mechanics and Engineering, Volume: 344, Pages: 209 - 250

Swansea University Author: Gil, Antonio

  • Accepted Manuscript under embargo until: 13th October 2019

Abstract

In previous work (Lee et al., 2016, 2017), Lee et al. introduced a new Smooth Particle Hydrodynamics (SPH) computational framework for large strain explicit solid dynamics with special emphasis on the treatment of near incompressibility. A first order system of hyperbolic equations was presented exp...

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Published in: Computer Methods in Applied Mechanics and Engineering
ISSN: 00457825
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa44650
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first_indexed 2018-09-28T13:16:48Z
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spelling 2018-11-19T16:27:30Z v2 44650 2018-09-28 A Total Lagrangian upwind Smooth Particle Hydrodynamics algorithm for large strain explicit solid dynamics Antonio Gil Antonio Gil true 0000-0001-7753-1414 false 1f5666865d1c6de9469f8b7d0d6d30e2 d66249f916a874bda4f708760a8d2027 Gy3Cg4qrL2LY4pTET3406oJSbZF11mHm1K8NtCGVMYw= 2018-09-28 EEN In previous work (Lee et al., 2016, 2017), Lee et al. introduced a new Smooth Particle Hydrodynamics (SPH) computational framework for large strain explicit solid dynamics with special emphasis on the treatment of near incompressibility. A first order system of hyperbolic equations was presented expressed in terms of the linear momentum and the minors of the deformation, namely the deformation gradient, its co-factor and its Jacobian. Taking advantage of this representation, the suppression of numerical deficiencies (e.g. spurious pressure, long term instability and/or consistency issues) was addressed through well-established stabilisation procedures. In Reference Lee et al. (2016), the adaptation of the very efficient Jameson-Schmidt-Turkel algorithm was presented. Reference Lee et al. (2017) introduced an adapted variationally consistent Streamline Upwind Petrov Galerkin methodology. In this paper, we now introduce a third alternative stabilisation strategy, extremely competitive, and which does not require the selection of any user-defined artificial stabilisation parameter. Specifically, a characteristic-based Riemann solver in conjunction with a linear reconstruction procedure is used, with the aim to guarantee both consistency and conservation of the overall algorithm. We show that the proposed SPH formulation is very similar in nature to that of the upwind vertex centred Finite Volume Method presented in Aguirre et al. (2015). In order to extend the application range towards the incompressibility limit, an artificial compressibility algorithm is also developed. Finally, an extensive set of challenging numerical examples is analysed. The new SPH algorithm shows excellent behaviour in compressible, nearly incompressible and truly incompressible scenarios, yielding second order of convergence for velocities, deviatoric and volumetric components of the stress. Journal article Computer Methods in Applied Mechanics and Engineering 344 209 250 00457825 Conservation laws, SPH, Upwind, Riemann solver, Explicit dynamics, Incompressibility 0 0 2019 2019-01-01 10.1016/j.cma.2018.09.033 College of Engineering Engineering CENG EEN Computational Mechanics None 2018-11-19T16:27:30Z 2018-09-28T09:50:09Z College of Engineering Engineering Chun Hean Lee 1 Antonio J. Gil 2 Ataollah Ghavamian 3 Javier Bonet 4 Under embargo Under embargo 2018-10-18T10:02:27Z Output 24133436 application/pdf AM true Updated Copyright 19/11/2018 2019-10-13T00:00:00 true eng
title A Total Lagrangian upwind Smooth Particle Hydrodynamics algorithm for large strain explicit solid dynamics
spellingShingle A Total Lagrangian upwind Smooth Particle Hydrodynamics algorithm for large strain explicit solid dynamics
Gil, Antonio
title_short A Total Lagrangian upwind Smooth Particle Hydrodynamics algorithm for large strain explicit solid dynamics
title_full A Total Lagrangian upwind Smooth Particle Hydrodynamics algorithm for large strain explicit solid dynamics
title_fullStr A Total Lagrangian upwind Smooth Particle Hydrodynamics algorithm for large strain explicit solid dynamics
title_full_unstemmed A Total Lagrangian upwind Smooth Particle Hydrodynamics algorithm for large strain explicit solid dynamics
title_sort A Total Lagrangian upwind Smooth Particle Hydrodynamics algorithm for large strain explicit solid dynamics
author_id_str_mv 1f5666865d1c6de9469f8b7d0d6d30e2
author_id_fullname_str_mv 1f5666865d1c6de9469f8b7d0d6d30e2_***_Gil, Antonio
author Gil, Antonio
author2 Chun Hean Lee
Antonio J. Gil
Ataollah Ghavamian
Javier Bonet
format Journal article
container_title Computer Methods in Applied Mechanics and Engineering
container_volume 344
container_start_page 209
publishDate 2019
institution Swansea University
issn 00457825
doi_str_mv 10.1016/j.cma.2018.09.033
college_str College of Engineering
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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 0
active_str 1
researchgroup_str Computational Mechanics
description In previous work (Lee et al., 2016, 2017), Lee et al. introduced a new Smooth Particle Hydrodynamics (SPH) computational framework for large strain explicit solid dynamics with special emphasis on the treatment of near incompressibility. A first order system of hyperbolic equations was presented expressed in terms of the linear momentum and the minors of the deformation, namely the deformation gradient, its co-factor and its Jacobian. Taking advantage of this representation, the suppression of numerical deficiencies (e.g. spurious pressure, long term instability and/or consistency issues) was addressed through well-established stabilisation procedures. In Reference Lee et al. (2016), the adaptation of the very efficient Jameson-Schmidt-Turkel algorithm was presented. Reference Lee et al. (2017) introduced an adapted variationally consistent Streamline Upwind Petrov Galerkin methodology. In this paper, we now introduce a third alternative stabilisation strategy, extremely competitive, and which does not require the selection of any user-defined artificial stabilisation parameter. Specifically, a characteristic-based Riemann solver in conjunction with a linear reconstruction procedure is used, with the aim to guarantee both consistency and conservation of the overall algorithm. We show that the proposed SPH formulation is very similar in nature to that of the upwind vertex centred Finite Volume Method presented in Aguirre et al. (2015). In order to extend the application range towards the incompressibility limit, an artificial compressibility algorithm is also developed. Finally, an extensive set of challenging numerical examples is analysed. The new SPH algorithm shows excellent behaviour in compressible, nearly incompressible and truly incompressible scenarios, yielding second order of convergence for velocities, deviatoric and volumetric components of the stress.
published_date 2019-01-01T06:11:41Z
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