An arbitrary Lagrangian-Eulerian semi-implicit hybrid method for continuum mechanics with GLM cleaning
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Elsevier
Abstract
This paper proposes a novel semi-implicit arbitrary Lagrangian-Eulerian (ALE) method for the solution of the unified Godunov-Peshkov-Romenski (GPR) model of continuum mechanics. To handle the curl-free-type involutions arising in the solid limit of the model, the original system is augmented by adopting a thermodynamically compatible generalized Lagrangian multiplier (GLM) approach. Next, an operator splitting strategy decouples the computation of fast pressure waves from the bulk velocity of the medium yielding a transport subsystem, containing convective terms and non-conservative products, and a Poisson-type subsystem, for the pressure. A second splitting yields an ODE subsystem comprising only the potentially stiff source terms, responsible for the relaxation of the model between its fluid and solid limits.
The mesh motion can be driven by two sources: the local fluid velocity and a prescribed boundary displacement. For the spatial discretisation, we employ unstructured staggered grids, with the pressure defined on the primal mesh and all remaining variables on the dual grid. The transport subsystem is advanced via an explicit finite volume method, in which integration over closed space-time control volumes ensures verification of the geometric conservation law (GCL). On the other hand, implicit continuous finite elements are used for the discretisation of the pressure subsystem and an implicit DIRK scheme is employed to solve the ODE subsystem. Consequently, the proposed approach is well suited to address all Mach number flows. A comprehensive set of benchmarks is employed to assess the accuracy and robustness of the proposed methodology in tackling both fluid and solid mechanics problems.
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Busto, S. (2026). An arbitrary Lagrangian-Eulerian semi-implicit hybrid method for continuum mechanics with GLM cleaning. Computer Methods in Applied Mechanics and Engineering, 453, 118824. 10.1016/j.cma.2026.118824
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https://doi.org/10.1016/j.cma.2026.118824Sponsors
The author acknowledges support from the Spanish Ministry of Science, Innovation and Universities (MCIN), the Spanish AEI (MCIN/AEI/10.13039/501100011033) and European Social Fund Plus under the project RYC2022-036355-I; from FEDER and the Spanish Ministry of Science, Innovation and Universities under project PID2021-122625OB-I00; from the European Research Council under the European Union’s Horizon Europe research and innovation program grant ERC-2025-STG SUPREMUM 101219299, and from the Xunta de Galicia (Spain) under project GI-1563 ED431C 2025/09. The author would like to acknowledge support from the CESGA, Spain, for the access to the FT3 supercomputer. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the granting authorities. Neither the European Union nor the granting authorities can be held responsible for them.
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Published by Elsevier B.V. This is an open access article under the CC BY-NC license
Attribution-NonCommercial 4.0 International
Attribution-NonCommercial 4.0 International








