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Direct optimal growth analysis for timesteppers
Author(s) -
Barkley D.,
Blackburn H. M.,
Sherwin S. J.
Publication year - 2008
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/fld.1824
Subject(s) - stability (learning theory) , nonlinear system , eigenvalues and eigenvectors , code (set theory) , flow (mathematics) , mathematics , computational fluid dynamics , transient (computer programming) , computer science , geometry , physics , mechanics , set (abstract data type) , quantum mechanics , machine learning , programming language , operating system
Abstract Methods are described for transient growth analysis of flows with arbitrary geometric complexity, where in particular the flow is not required to vary slowly in the streamwise direction. Emphasis is on capturing the global effects arising from localized convective stability in streamwise‐varying flows. The methods employ the ‘timestepper's approach’ in which a nonlinear Navier–Stokes code is modified to provide evolution operators for both the forward and adjoint linearized equations. First, the underlying mathematical treatment in primitive flow variables is presented. Then, details are given for the inner level code modifications and outer level eigenvalue and SVD algorithms in the timestepper's approach. Finally, some examples are shown and guidance provided on practical aspects of this type of large‐scale stability analysis. Copyright © 2008 John Wiley & Sons, Ltd.