Predicting the nonlinear amplification of disturbances using the Spatial Perturbation Equations in a viscous boundary layer
ORAL
Abstract
The Spatial Perturbation Equations (SPE) are a well-posed streamwise marching formulation that utilizes a series of downstream traveling solutions to stabilize the marching procedure. This technique avoids the inconsistencies of the Parabolized Stability Equations (PSE) which require ad-hoc remedies to stabilize the inherently ill-posed marching procedure.
A consistent use of streamwise non-parallel terms, viscous terms, and nonlinear terms are introduced and used to march the disturbances and remove undesirable upstream-traveling solutions that arise due to numerical error.
Our novel framework does not rely on modal wave behavior and enables the use of an explicit advancement scheme.
Additionally, it incorporates a robust treatment of nonlinear interactions of harmonics which allows the accurate capturing of high-amplitude perturbations.
Comparisons of the evolution of linear and nonlinear disturbances in a boundary-layer flow show excellent agreement with direct numerical simulations (DNS) for both incompressible and compressible flow at a fraction of the computational cost.
A consistent use of streamwise non-parallel terms, viscous terms, and nonlinear terms are introduced and used to march the disturbances and remove undesirable upstream-traveling solutions that arise due to numerical error.
Our novel framework does not rely on modal wave behavior and enables the use of an explicit advancement scheme.
Additionally, it incorporates a robust treatment of nonlinear interactions of harmonics which allows the accurate capturing of high-amplitude perturbations.
Comparisons of the evolution of linear and nonlinear disturbances in a boundary-layer flow show excellent agreement with direct numerical simulations (DNS) for both incompressible and compressible flow at a fraction of the computational cost.
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Presenters
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Shaun R Harris
Center for Turbulence Research, Stanford University
Authors
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Shaun R Harris
Center for Turbulence Research, Stanford University
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Parviz Moin
Center for Turbulence Research, Stanford University, Stanford University, Center for Turbulence Research, Stanford Univ
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M. J. Philipp Hack
Center for Turbulence Research, Stanford University