Space-time nonlinear reduced-order modelling for unsteady flows

TL;DR

This paper develops a space-time reduced-order modeling approach in the frequency domain for unsteady flows, capturing dominant structures and statistical properties of turbulent flows without closure models.

Contribution

It introduces a novel space-time Galerkin projection method using Spectral Proper Orthogonal Decomposition for efficient modeling of statistically stationary turbulent flows.

Findings

Successfully models chaotic flow in a lid-driven cavity at Re=20000.

Reproduces dominant flow features and turbulence statistics with good fidelity.

Overpredicts energy near the truncation boundary without closure models.

Abstract

This work investigates projection-based Reduced-Order Models (ROMs) formulated in the frequency domain, employing a space-time basis constructed with Spectral Proper Orthogonal Decomposition to efficiently represent dominant spatio-temporal coherent structures. Although frequency domain formulations are well suited to capturing time-periodic solutions, such as unstable periodic orbits, this study focusses on modelling statistically stationary flows by computing long-time solutions that approximate their underlying statistics. In contrast to traditional ROMs based solely on spatial modes, a space-time formulation achieves simultaneous reduction in both space and time. This is accomplished by Galerkin projection of the Navier-Stokes equations onto the basis using a space-time inner product, yielding a quadratic algebraic system of equations in the unknown amplitude coefficients. Solutions of the ROM are obtained by identifying amplitude coefficients that minimise an objective function corresponding to the sum of the squares of the residuals of the algebraic system across all frequencies and modes, quantifying the aggregate violation of momentum conservation within the reduced subspace. A robust gradient-based optimisation algorithm is employed to identify the minima of this objective function. The method is demonstrated for chaotic flow in a two-dimensional lid-driven cavity at $Re=20{,}000$, where solutions with extended temporal periods approximately fifteen times the dominant shear layer time scale are sought. Even without employing closure models to represent the truncated spatio-temporal triadic interactions, multiple ROM solutions are found that successfully reproduce the dominant dynamical flow features and predict the statistical distribution of turbulent quantities with good fidelity, although they tend to overpredict energy at spatio-temporal scales near the truncation boundary.