Concurrent two-way coupling of global and local models across internal boundaries with non-matching discretizations
Coupling local and global models enables efficient simulation of multiscale systems, where global models capture large-scale behavior and local models, with enhanced physics, resolve finer details over a smaller region. This paper presents a mathematically consistent method for coupling physics-based models of varying fidelity across adjacent, non-overlapping subdomains, even when discretizations do not match at the immersed interdomain interfaces. Incompressible Navier-Stokes equations (NSE) constitute the global model while residual-based turbulence model serves as the local high-fidelity model. In addition, a scalar advection-diffusion equation that models the convection of an active scalar field is appended to the turbulence model in the local domain. This scalar field does not have its complement in the global model, giving rise to unequal number of equations at the immersed boundary between local and global models. Interdomain coupling terms are derived via the Variational Multiscale Discontinuous Galerkin (VMDG) method with new developments in scale representation and efficient fine-scale estimation. While transient laminar flows modeled with NSE in the global can be resolved with relatively coarse mesh, turbulent flow calculations in the local model require much finer spatial discretizations as well as smaller time-step for appropriately resolving the turbulent flow physics. The proposed framework also accommodates non-matching meshes at the immersed boundaries. Test problems in 2D and 3D numerically showcase the concurrent two-way coupling of unknown fields across the immersed boundaries. 3D test case presents the case of unequal number of equations where scalar field models the convection of the contamination concentration, thereby providing more detailed physics in the local region, highlighting its application in climate modeling and atmospheric sciences.
Authors
- Arif Masud (ORCID: https://orcid.org/0000-0002-4708-4251)
- Soonpil Kang
Institutions
- University of Illinois Urbana-Champaign (US)
Publication Details
- Journal
- Advances in Computational Science and Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.3934/acse.2025016
- Primary Topic
- Advanced Numerical Methods in Computational Mathematics
- Type
- article
- Field-Weighted Citation Impact
- 0.00