Thesis-2009-Robinson.pdf (34.49 MB)
Unsteady inlet condition generation for Large Eddy Simulation CFD using particle image
thesis
posted on 2014-06-25, 09:12 authored by Mark D. RobinsonIn many areas of aerodynamics the technique of Large Eddy Simulation (LES) has
proved a practical way of modelling the unsteady phenomena in numerical
simulations. Few applications are as dependent on such an approach as the prediction
of flow within a gas turbine combustor. Like any form of Computational Fluid
Dynamics (CFD), LES requires specification of the velocity field at the inflow
boundary, with much evidence suggesting the specification of inlet turbulence can be
critical to the resultant accuracy of the prediction. While a database of time-resolved
velocity data may be obtained from a precursor LES calculation, this technique is
prohibitively expensive for complex geometries. An alternative is to use synthetic
inlet conditions obtained from experimental data
High-speed Particle Image Velocimetry (PIV) is used here to provide planar velocity
data at up to 1kHz temporal resolution in two test cases representative of gas turbine
combustor flows (a vortex generator in a duct and an idealised combustor). As the
data sampling rate is approaching a typical LES time-step it introduces the possibility
of applying instantaneous experimental data directly as an inlet condition. However,
as typical solution domain inlet regions for gas turbine combustor geometries cannot
be adequately captured in a single field of PIV data, it is necessary to consider a
method by which a synchronous velocity field may be obtained from multiple PIV
fields that were not captured concurrently.
A method is proposed that attempts to achieve this by a combined process of Linear
Stochastic Estimation and high-pass filtering. The method developed can be
generally applied without a priori assumptions of the flow and is demonstrated to
produce a velocity field that matches very closely that of the original PIV, with no
discontinuities in the velocity correlations. The fidelity and computational cost of the
method compares favourably to several existing inlet condition generation methods.
Finally, the proposed and existing methods for synthetic inlet condition generation are
applied to LES predictions of the two test cases. There is shown to be significant
differences in the resulting flow, with the proposed method showing a marked
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reduction in the adjustment period that is required to establish turbulent equilibrium
downstream of the inlet. However, it is noted the presence of downstream turbulence
generating features can mask any differences in the inlet condition, to the extent that
the flow in the core of the combustor test case is found to be insensitive to the inlet
condition applied at the entry to the feed annulus for the test conditions applied here
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering