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A Coupling Framework for Multi-Domain Modelling and Multi-Physics Simulations.

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Summary
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This study introduces a flexible coupling framework for parallel multi-physics simulations. It enables efficient data exchange between different simulation domains using smart edges for improved performance in complex applications.

Keywords:
code couplingconjugate heat transferoverset

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Area of Science:

  • Computational Fluid Dynamics (CFD)
  • Numerical Simulation
  • High-Performance Computing (HPC)

Background:

  • Multi-physics and multi-domain simulations require robust coupling frameworks.
  • Efficient data exchange between diverse solvers is a significant challenge.
  • Existing methods may lack flexibility for arbitrary interface configurations.

Purpose of the Study:

  • To present a novel coupling framework for parallel execution of disparate solvers.
  • To enable flexible connections across arbitrary adjacent simulation zones and interfaces.
  • To assess the accuracy and performance of the proposed framework.

Main Methods:

  • A coupling architecture based on multiple instances of a coupling code.
  • Utilization of 'smart edges' (separate processes) for inter-region data management.
  • Independent servers managing data exchange for single interfaces between solver sessions.

Main Results:

  • Demonstrated a flexible and modular system for complex simulations.
  • Successfully handled data exchange across various physical and overlapping interfaces.
  • Validated accuracy and performance for turbomachinery Conjugate Heat Transfer (CHT) and Sliding Plane (SP) analyses.

Conclusions:

  • The proposed coupling framework offers a scalable and efficient solution for multi-physics simulations.
  • The 'smart edge' approach enhances modularity and data management.
  • The framework is well-suited for demanding applications like turbomachinery simulations.