The role of interface boundary conditions and sampling strategies for Schwarz-based coupling of projection-based reduced order models

This paper presents and evaluates a framework for the coupling of subdomain-local projection-based reduced order models (PROMs) using the Schwarz alternating method following a domain decomposition (DD) of the spatial domain on which a given problem of interest is posed. In this approach, the solution on the full domain is obtained via an iterative process in which a sequence of subdomain-local problems are solved, with information propagating between subdomains through transmission boundary conditions (BCs). We explore several new directions involving the Schwarz alternating method aimed at maximizing the method’s efficiency and flexibility, and demonstrate it on three challenging two-dimensional nonlinear hyperbolic problems: the shallow water equations , Burgers’ equation, and the compressible Euler equations . We demonstrate that, for a cell-centered finite volume discretization and a non-overlapping DD, it is possible to obtain a stable and accurate coupled model utilizing Dirichlet–Dirichlet (rather than Robin–Robin or alternating Dirichlet–Neumann) transmission BCs on the subdomain boundaries. We additionally explore the impact of boundary sampling when utilizing the Schwarz alternating method to couple subdomain-local hyper-reduced PROMs. Our numerical results suggest that the proposed methodology has the potential to improve PROM accuracy by enabling the spatial localization of these models via domain decomposition, and achieve up to two orders of magnitude speedup over equivalent coupled full order model solutions and moderate speedups over analogous monolithic solutions. • We develop an approach to couple subdomain-local reduced order models (ROMs). • We couple the ROMs via the Schwarz alternating method given a domain decomposition. • We study the impact of Schwarz boundary conditions and hyper-reduction on coupling. • We evaluate the coupling method on several nonlinear hyperbolic conservation laws.

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Publication Details

Journal
Journal of Computational and Applied Mathematics
Published
2025-02-20
DOI
https://doi.org/10.1016/j.cam.2025.116584
Citations
7
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
9.27

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article

The role of interface boundary conditions and sampling strategies for Schwarz-based coupling of projection-based reduced order models

Christopher Wentland, Irina Tezaur, Francesco Rizzi, Joshua Barnett
7 citations
Journal of Computational and Applied Mathematics
Model Reduction and Neural Networks
9.27
article

The role of interface boundary conditions and sampling strategies for Schwarz-based coupling of projection-based reduced order models

Christopher Wentland, Irina Tezaur, Francesco Rizzi, Joshua Barnett
article en
7 citations

Abstract

This paper presents and evaluates a framework for the coupling of subdomain-local projection-based reduced order models (PROMs) using the Schwarz alternating method following a domain decomposition (DD) of the spatial domain on which a given problem of interest is posed. In this approach, the solution on the full domain is obtained via an iterative process in which a sequence of subdomain-local problems are solved, with information propagating between subdomains through transmission boundary conditions (BCs). We explore several new directions involving the Schwarz alternating method aimed at maximizing the method’s efficiency and flexibility, and demonstrate it on three challenging two-dimensional nonlinear hyperbolic problems: the shallow water equations , Burgers’ equation, and the compressible Euler equations . We demonstrate that, for a cell-centered finite volume discretization and a non-overlapping DD, it is possible to obtain a stable and accurate coupled model utilizing Dirichlet–Dirichlet (rather than Robin–Robin or alternating Dirichlet–Neumann) transmission BCs on the subdomain boundaries. We additionally explore the impact of boundary sampling when utilizing the Schwarz alternating method to couple subdomain-local hyper-reduced PROMs. Our numerical results suggest that the proposed methodology has the potential to improve PROM accuracy by enabling the spatial localization of these models via domain decomposition, and achieve up to two orders of magnitude speedup over equivalent coupled full order model solutions and moderate speedups over analogous monolithic solutions. • We develop an approach to couple subdomain-local reduced order models (ROMs). • We couple the ROMs via the Schwarz alternating method given a domain decomposition. • We study the impact of Schwarz boundary conditions and hyper-reduction on coupling. • We evaluate the coupling method on several nonlinear hyperbolic conservation laws.

Journal of Computational and Applied MathematicsVol. 465
Sandia National Laboratories California (US), Cadence Design Systems (United States) (US)
U.S. Department of Energy
Openalex Percentile: Top 2%
Model Reduction and Neural Networks
9.27
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