Quasi-Spectral Sparse Bi-Global Stability Analysis of Compressible Channel Flow over Complex Impedance
Iman Rahbari, Carlo Scalo

TL;DR
This paper introduces a sparse, high-order numerical solver for biglobal stability analysis of compressible channel flow with complex impedance boundary conditions, revealing how impedance resonances influence flow stability.
Contribution
Developed a novel sparse, compact finite difference-based biglobal stability solver for compressible flows with impedance boundaries, enabling efficient eigenvalue analysis of flow stability characteristics.
Findings
Impedance boundary conditions significantly affect flow stability.
Resonant frequencies act as attractors for instabilities.
The solver reduces computational cost compared to traditional methods.
Abstract
We have developed a fully sparse, compact-scheme based biglobal stability analysis numerical solver applied, for the scope of the current paper, to the investigation of the effects of impedance boundary conditions (IBCs) on the structure of a fully developed compressible turbulent channel flow. A sixth-order compact finite difference scheme is used to discretize the linearized Navier-Stokes equations leading to a Generalized Eigenvalue Problem (GEVP). Sparsity is retained by explicitly introducing derivatives of the perturbation as additional unknowns, increasing the overall problem size (number of columns number of rows) while significantly reducing the number of non-zeros and the computational cost with respect to traditional implementations yielding otherwise dense matrix blocks. The resulting GEVP is coded in Python and solved employing an Message Passing Interface (MPI)…
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See pages 1-16 of RahbariScalo_AIAA-SciTech_2017.pdf
