Symmetrisation and hyperbolicity of first-order conservation laws in large strain compressible viscoelasticity using the smoothed particle hydrodynamics method

Other authors

Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental

Publication date

2026-04-15



Abstract

This paper presents a new first-order hyperbolic framework with relaxation (or dissipation) terms for large strain viscoelastic solids. The framework is based on a compressible Maxwell-type viscoelastic model and integrates linear momentum conservation, geometric conservation laws, and evolution equations for internal variables. First, we propose a polyconvex strain energy function that is jointly convex with respect to the deformation measures and internal variables. Second, we introduce a generalised convex entropy function to symmetrise the hyperbolic system in terms of dual conjugate (entropy) variables. Third, we demonstrate that the system is hyperbolic (i.e., real wave speeds) under all deformation states, and that the relaxation terms correctly capture viscoelastic dissipation. Fourth, we present an upwinding Smoothed Particle Hydrodynamics (SPH) [1–3] scheme that enforces the second law of thermodynamics semi-discretely and uses the time rate of the generalised convex entropy to monitor internal dissipation and stabilise the simulation. Finally, the proposed framework is validated through numerical examples and benchmarked against the in-house Updated Reference Lagragian SPH [2,3] and vertex-centred finite volume [4–7] algorithms, demonstrating stability, accuracy, and consistent energy dissipation.


CHL and TJ acknowledge support provided by FIFTY2 Technology GmbH (project 322835), AJG and TR from UK AWE (project PO 40062030), and JB from project POTENTIAL (PID2022-141957OB-C21) funded by MCIN/AEI/10.13039/501100011033/FEDER, UE. AJG also acknowledges support from The Leverhulme Trust Fellowship, and CHL acknowledges support from the RSE Personal Research Fellowship.


Peer Reviewed


Postprint (published version)

Document Type

Article

Language

English

Publisher

Elsevier

Related items

https://www.sciencedirect.com/science/article/pii/S0045782526000162

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-141957OB-C21/ES/INGENIERIA COMPUTACIONAL BASADA EN DATOS PARA ACTUACION FLEXIBLE/

Recommended citation

This citation was generated automatically.

Rights

http://creativecommons.org/licenses/by-sa/4.0/

Open Access

Attribution-ShareAlike 4.0 International

This item appears in the following Collection(s)

E-prints [72932]