Subcycling Strategy for Finite‐Volume Updated‐Lagrangian Methods Applied to Fluid–Structure Interaction

ABSTRACT In this article, we propose and investigate an explicit partitioned method for solving shock dynamics in fluid–structure interaction (FSI) problems. The method is fully conservative, ensuring the local conservation of mass, momentum, and energy, which is crucial for accurately capturing str...

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Bibliographic Details
Published in:International journal for numerical methods in engineering Vol. 126; no. 11
Main Authors: Chantrait, Teddy, Chevaugeon, Nicolas, Del Pino, Stéphane, Gangloff, Alexandre, Labourasse, Emmanuel
Format: Journal Article
Language:English
Published: Hoboken, USA John Wiley & Sons, Inc 15.06.2025
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Subjects:
Computational efficiency
Computing costs
Engineering Sciences
finite‐volume method
Fluid-structure interaction
Fluids mechanics
fluid–structure interaction (FSI)
Mathematics
Mechanics
Numerical Analysis
partitioned method
shock dynamics
Structural mechanics
subcycling
updated‐Lagrangian method
updated-Lagrangian method
subcycling
finite-volume method
fluid–structure interaction (FSI)
partitioned method
shock dynamics
computational efficiency
ISSN:0029-5981, 1097-0207, 1097-0207
Online Access:Get full text
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Summary:ABSTRACT In this article, we propose and investigate an explicit partitioned method for solving shock dynamics in fluid–structure interaction (FSI) problems. The method is fully conservative, ensuring the local conservation of mass, momentum, and energy, which is crucial for accurately capturing strong shock interactions. Using an updated‐Lagrangian finite‐volume approach, the method integrates a subcycling strategy to decouple time steps between the fluid and structure, significantly enhancing computational efficiency. Numerical experiments confirm the accuracy and stability of the method, demonstrating that it retains the key properties of monolithic solvers while reducing computational costs. Extensive validation across 1D and 3D FSI problems shows the method's capability for large‐scale, fast transient simulations, making it a promising solution for high‐performance applications.
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ISSN:0029-5981
1097-0207
1097-0207
DOI:10.1002/nme.70051