Publication | Open Access
Low cost 3D global instability analysis and flow sensitivity based on dynamic mode decomposition and high‐order numerical tools
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Citations
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References
2014
Year
Numerical AnalysisFluid InstabilitiesEngineeringComputational MechanicsFlow SensitivityStabilityNumerical ComputationNumerical SimulationNumerical StabilityLow Cost 3DBase FlowStability AnalysisIncompressible FlowComputational Fluid DynamicsNumerical Method For Partial Differential EquationFluid-structure InteractionDmd TechniqueAdjoint ModesDynamic Mode DecompositionNumerical Methods
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SUMMARY We explore the recently developed snapshot‐based dynamic mode decomposition (DMD) technique, a matrix‐free Arnoldi type method, to predict 3D linear global flow instabilities. We apply the DMD technique to flows confined in an L‐shaped cavity and compare the resulting modes to their counterparts issued from classic, matrix forming, linear instability analysis (i.e. BiGlobal approach) and direct numerical simulations. Results show that the DMD technique, which uses snapshots generated by a 3D non‐linear incompressible discontinuous Galerkin Navier–Stokes solver, provides very similar results to classical linear instability analysis techniques. In addition, we compare DMD results issued from non‐linear and linearised Navier–Stokes solvers, showing that linearisation is not necessary (i.e. base flow not required) to obtain linear modes, as long as the analysis is restricted to the exponential growth regime, that is, flow regime governed by the linearised Navier–Stokes equations, and showing the potential of this type of analysis based on snapshots to general purpose CFD codes, without need of modifications. Finally, this work shows that the DMD technique can provide three‐dimensional direct and adjoint modes through snapshots provided by the linearised and adjoint linearised Navier–Stokes equations advanced in time. Subsequently, these modes are used to provide structural sensitivity maps and sensitivity to base flow modification information for 3D flows and complex geometries, at an affordable computational cost. The information provided by the sensitivity study is used to modify the L‐shaped geometry and control the most unstable 3D mode. Copyright © 2014 John Wiley & Sons, Ltd.
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