Temporal and Spatial Coupling Methods for the Efficient Modelling of Dynamic Solids

This paper presents efficient coupling methods that accurately reduce the computational cost for modelling solids dynamically with finite elements. A multi-time-step integration algorithm is developed to leverage varying time steps throughout a domain. Interfaces between subdomains are resolved explicitly with the continuity of acceleration and tractions. A spatial coupling method is combined with multiple time steps, allowing for meshes that do not necessarily conform at their interfaces. The method avoids solving additional degrees of freedom at these interfaces, with parameter-free coupling operators defined between meshes. A speedup >12× is achieved in comparison to reference single-time-step methods.

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Publication Details

Journal
Materials
Published
2025-02-28
DOI
https://doi.org/10.3390/ma18051080
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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Temporal and Spatial Coupling Methods for the Efficient Modelling of Dynamic Solids

Nik Petrinić, S. Falco, Nicola Bombace, Ka Hung Chan et al.
2 links
Materials
Advanced Numerical Methods in Computational Mathematics
article

Temporal and Spatial Coupling Methods for the Efficient Modelling of Dynamic Solids

Nik Petrinić, S. Falco, Nicola Bombace, Ka Hung Chan, Indrajeet Sahu
article en

Abstract

This paper presents efficient coupling methods that accurately reduce the computational cost for modelling solids dynamically with finite elements. A multi-time-step integration algorithm is developed to leverage varying time steps throughout a domain. Interfaces between subdomains are resolved explicitly with the continuity of acceleration and tractions. A spatial coupling method is combined with multiple time steps, allowing for meshes that do not necessarily conform at their interfaces. The method avoids solving additional degrees of freedom at these interfaces, with parameter-free coupling operators defined between meshes. A speedup >12× is achieved in comparison to reference single-time-step methods.

MaterialsVol. 18(5)
University of Oxford (GB), Advanced Micro Devices (United Kingdom) (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 95%
Advanced Numerical Methods in Computational Mathematics
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Temporal and Spatial Coupling Methods for the Efficient Modelling of Dynamic Solids — Nik Petrinić, S. Falco, et al. · Materials (2025) | TGRS Research Map | TGRS