Second-order adjoint-based sensitivity for hydrodynamic stability and control
Edouard Boujo

TL;DR
This paper introduces a second-order adjoint sensitivity method to accurately predict flow stability changes due to control, improving upon first-order methods and enabling optimal control design for flow stabilization.
Contribution
The study develops a second-order sensitivity operator for hydrodynamic stability, applied to flow past a cylinder, enhancing prediction accuracy and control optimization without computing controlled base flows.
Findings
Second-order sensitivity improves eigenvalue variation predictions.
Regions with negligible first-order effects are identified where second-order effects dominate.
Optimal control maximizing stabilization is computed via quadratic eigenvalue problem.
Abstract
Adjoint-based sensitivity analysis is routinely used today to assess efficiently the effect of open-loop control on the linear stability properties of unstable flows. Sensitivity maps identify regions where small-amplitude control is the most effective, i.e. yields the largest first-order (linear) eigenvalue variation. In this study an adjoint method is proposed for computing a second-order (quadratic) sensitivity operator, and applied to the flow past a circular cylinder, controlled with a steady body force or a passive device model. Maps of second-order eigenvalue variations are obtained, without computing controlled base flows and eigenmodes. For finite control amplitudes, the second-order analysis improves the accuracy of the first-order prediction, and informs about its range of validity, and whether it underestimates or overestimates the actual eigenvalue variation. Regions are…
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Taxonomy
TopicsModel Reduction and Neural Networks · Fluid Dynamics and Vibration Analysis · Numerical methods for differential equations
