Introduction to the Combination of Reduced Order Models and Domain Decomposition: State of the Art and Perspectives
Shenhui Ruan, Andreas G. Class, Gianluigi Rozza

TL;DR
This paper reviews current methodologies combining Reduced Order Models and Domain Decomposition, highlighting their potential to significantly reduce computational costs in complex engineering simulations.
Contribution
It categorizes existing ROM-DD methods into intrusive and non-intrusive frameworks, providing a comprehensive overview and discussing future perspectives.
Findings
Intrusive methods involve equations and numerical algorithms.
Non-intrusive methods are based on data-driven approaches.
The integration of ROM and DD faces open challenges and opportunities.
Abstract
Reduced Order Models (ROMs) have been regarded as an efficient alternative to conventional high-fidelity Computational Fluid Dynamics (CFD) for accelerating the design and optimization processes in engineering applications. Many industrial geometries feature repeating subdomains or contain sub-regions governed by distinct physical phenomena, making them well-suited to Domain Decomposition (DD) techniques. The integration of ROM and DD is promising to further reduce computational costs by constructing local ROMs and assembling them into global solutions. Due to the complexity and necessity of coupling ROMs, many approaches have been proposed in recent years. This review provides a concise overview of existing methodologies combining ROM and DD. We categorize existing methods into intrusive (projection-based) and non-intrusive (data-driven) frameworks. Various strategies for generating…
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Taxonomy
TopicsModel Reduction and Neural Networks · Bladed Disk Vibration Dynamics · Numerical methods in engineering
