Certified Reduced-Order Surrogates and Stability Margins in Viscous Incompressible Flow and Fluid--Structure Interaction
Chandrasekhar Gokavarapu (1), Naveen Kumar Kakumanu (1), Anjali Datla (1), and Githa Harshitha Noolu (1) ((1) Department of Mathematics, Government College (Autonomous), Rajahmundry, Andhra Pradesh, India)

TL;DR
This paper develops certified reduced-order models for incompressible flow and fluid-structure interaction, providing stability guarantees, residual-based error bounds, and transition indicators to predict flow behavior and stability margins.
Contribution
It introduces a novel framework for certified reduced-order modeling with energy inequalities, residual bounds, and stability margins for fluid dynamics and fluid-structure interaction.
Findings
Constructed ROMs satisfy certified energy inequalities.
Derived explicit a posteriori error bounds based on residuals.
Identified parameter regimes ensuring existence, uniqueness, and stability of solutions.
Abstract
Let solve the incompressible Navier--Stokes equations in a regime in which an energy inequality is available and each constant in that inequality is computable from declared data. We construct a reduced-order model constrained so that its discrete evolution satisfies a certified energy inequality. This certificate yields global-in-time boundedness of the ROM energy and a regime-of-validity test that fails when a stated hypothesis fails. It follows that one can attach a computable residual functional to the ROM trajectory. We prove an a posteriori bound of the form \[ \norm{u-u_n}_{\mathsf{X}(0,T)} \le C(\text{declared data})\,\mathcal{R}_n, \] with explicit and with computed from the ROM and the discretization operators. Conversely, if the certificate constraint is relaxed, the bound can fail even for stable full-order dynamics, by an…
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Taxonomy
TopicsNavier-Stokes equation solutions · Model Reduction and Neural Networks · Stability and Controllability of Differential Equations
