Mean resolvent operator of statistically steady flows
Colin Leclercq, Denis Sipp

TL;DR
This paper introduces the mean resolvent operator for statistically steady flows, providing a new linear approximation tool that captures the mean response to forcing, with applications in flow control and analysis of complex flow regimes.
Contribution
It defines and develops the theory of the mean resolvent operator for steady and quasiperiodic flows, extending resolvent analysis to statistically steady and turbulent regimes.
Findings
Poles of the operator correspond to Floquet exponents.
Mean transfer functions can be identified without averaging for harmonic forcing.
The operator approximates the mean flow resolvent in weakly unsteady flows.
Abstract
This paper introduces a new operator relevant to input-output analysis of flows in a statistically steady regime far from the steady base flow: the mean resolvent . It is defined as the operator predicting, in the frequency domain, the mean linear response to forcing of the time-varying base flow. As such, it provides the statistically optimal linear time-invariant approximation of the input-output dynamics, which may be useful, for instance, in flow control applications. Theory is developed for the periodic case. The poles of the operator are shown to correspond to the Floquet exponents of the system, including purely imaginary poles at multiples of the fundamental frequency. In general, evaluating mean transfer functions from data requires averaging the response to many realizations of the same input. However, in the specific case of harmonic forcings, we show that the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Model Reduction and Neural Networks · Numerical methods for differential equations
