Numerical simulations of shock/boundary layer interactions using time-dependent modeling techniques: A survey of recent results
Introduction
The accurate prediction of high-speed flows can depend critically on the ability of the chosen model to account for shock wave/turbulent boundary layer interactions (SWTBLIs). For example, off-design aerodynamic performance of missiles can be affected by shock/boundary layer interactions induced by plume interference, and the performance of inlets and isolators for high-speed engine concepts is significantly affected by shock/boundary layer interactions. A clear understanding of the effects of the associated fluctuating pressure and heating loads in SWBTLIs is necessary to better refine control techniques, to predict failure scenarios, and to determine ranges of efficient operation. The canonical problem for shock/boundary layer interactions is supersonic flow over a 2-D compression–corner, sketched in Fig. 1. Years of study of such interactions have revealed several traits that, to this point, have defied accurate prediction using Reynolds-averaged Navier–Stokes models [1], [2], [3]. These include:
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unsteady motion of the separation region, which broadens the ‘plateau’ evident in time-averaged surface pressure distributions and induces high fluctuating pressure and heat transfer loads,
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a rapid acceleration of the velocity field toward the surface in the re-attachment/recovery regions;
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anisotropic Reynolds-stress amplification throughout the interaction,
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a ‘laminarization’ effect in the backflow region, and
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the sustained presence of three-dimensional vortical structures that appear downstream of the re-attachment line in stronger interactions.
Recently, there has been interest in applying high-fidelity models, such as large-eddy simulation (LES), direct numerical simulation (DNS), and hybrid large-eddy/Reynolds-averaged Navier–Stokes (LES–RANS) techniques to predict turbulent shock/boundary layer interactions. These have the potential for directly capturing the unsteadiness of the interactions at the important scales. To this author's knowledge, the first attempt to apply time-dependent modeling techniques to a SWTBLI was that of Hunt and Nixon [4], who conducted a ‘very large eddy simulation’ of the Mach 3 compression–corner interaction experimentally mapped by Dolling and Murphy [5]. The Hunt and Nixon study was performed on a very coarse mesh (by today's standards) but nevertheless, achieved some agreement with the experimental data. This study is noteworthy in that it introduced some techniques that still are used, in modified forms, in more recent simulations of SWTBLIs. These include recycling of turbulent fluctuations to sustain large-eddy motion, wall-function closures to enable calculations at high Reynolds number, and methods for extracting time-dependent surface pressure statistics in a manner consistent with experiment. It is of interest that Hunt and Nixon did not attempt to reduce the Reynolds number to better resolve the large-eddy dynamics. Later studies, such those conducted by Adams [6], [7], Knight and co-workers [8], [9], [10], Rizzetta and co-workers [11], [12], and Kannepalli et al. [13], did not follow this model, reducing the Reynolds number significantly to enable affordable, yet properly resolved calculations but removing the possibility of direct comparisons with experimental data as a consequence. These studies also introduced and refined techniques for generating turbulent inflow conditions [8], [14] and examined the effects of different subgrid closure models [8], [9], [10], [11], [12]. A selection of numerical schemes ranging from sixth-order compact schemes on structured meshes [6], [7], [11], [12] to third-order upwind-biased schemes on unstructured meshes [8] were also used. Indirect comparisons with experimental data revealed that in general, the lower Reynolds number DNS or LES calculations were not able to predict the characteristic ‘pressure plateau’ obtained in the vicinity of a region of axial separation. Furthermore, these calculations were unable to capture low-frequency, large-scale motions of the shock system that had been observed in experiments. In a more recent review [15], Knight et al. surveyed many of these initial applications of DNS and LES to SWTBLIs and concluded that further progress in the assessment of such techniques would require calculations that matched experimental conditions to a much higher degree of fidelity.
Since the publication of [15], there have been several attempts to conduct DNS, LES, and hybrid LES–RANS simulations of SWTBLIs at conditions that enable direct comparisons with experimental data. The present paper is concerned with reviewing a selection of these recent studies and in highlighting some of the insights into the physics of SWTBLIs that have resulted from this work. The canonical configuration remains the compression–corner, though some attempts at simulating other cases (impinging shocks, crossing shocks, sonic injection into a crossflow) have been or are being made. For validation of DNS strategies for SWTBLI prediction, the challenge is also in obtaining detailed experimental data at sufficiently low Reynolds numbers. Recently, Bookey et al. [16], [17] have conducted a series of experiments involving compression–corner and impinging oblique–shock interactions at Mach 3, Reδ=3.74×104 and have collected mean velocity data and mean and fluctuating surface pressure measurements. In a series of papers [18], [19], [20], [21], [22], Martin and co-workers have conducted DNS simulations of this experiment and have conducted detailed analyses of the flow structure. The Martin et al. database [23] and some the results of their analyses will be discussed in subsequent sections. Pirozzoli and Grasso [24] have conducted a DNS study of an impinging oblique–shock interaction at a Reynolds number close to, but lower than that considered earlier by Garnier et al. [25], [26] and have presented a few quantitative comparisons with experimental surface measurements.
The large-eddy simulations of Garnier et al. [25], [26] represent one of the first successful attempts to conduct large-eddy simulations of a SWTBLI at conditions that match experiment (Mach 2.3, Reδ=6.0×104). The configuration is an impinging shock interaction, generated through an 8° wedge, which results in small region of axially separated flow. The results showed generally good agreement for mean and rms velocity profiles upstream and downstream of the interaction, as well as good predictions of surface skin friction and the evolution of the compressible displacement thickness through the interaction. Comparisons between results obtained using a mixed-scale model [27] and the monotonically integrated large-eddy simulation (MILES) approach revealed only slight differences. A more comprehensive study of Mach 2.95 flow over a 25° compression–corner at Reδ=6.36×104 has been reported by Loginov et al. [28]. These calculations are conducted using a wall-resolved large-eddy simulation model, with the approximate deconvolution model (ADM) of Stolz and Adams [29] used as a subgrid closure. Selected results from this investigation are highlighted in this review.
Hybrid LES–RANS models have also been applied to shock/boundary layer interactions, primarily by Edwards and co-workers [30], [31], [32], [33], [34], [35]. The advantage of a hybrid LES–RANS model is that the near-wall flow is modeled using RANS concepts and as such, the resolution requirements reduce to those sufficient to resolve the eddies in the outer part of the boundary layer. The Reynolds number restrictions encountered in DNS and wall-resolved LES calculations are primarily associated with the need to resolve near-wall turbulent motion, and if other approaches can be used effectively in this area, the computational savings can be immense. The disadvantage is the same—the use of RANS concepts introduces a new level of uncertainty associated with the RANS closure and how it interacts with the resolved turbulence. It should be mentioned that the hybrid LES–RANS strategies developed in [30], [31], [32], [33], [34], [35] are distinct from the detached-eddy simulation (DES) idea of Spalart et al. [36]. By design, attached boundary layers in DES are to be modeled completely as RANS—the newly proposed ‘delayed DES model’ [37] maintains this focus by introducing a flow-dependent blending function that serves to render the ‘DES switch’ to a large-eddy simulation mode of operation less dependent on the mesh spacing. In contrast, the hybrid LES–RANS models of [30], [31], [32], [33], [34], [35] (and specifically the later versions) attempt to engineer a flow-dependent transition from RANS to LES as the boundary layer shifts from logarithmic behavior to wake behavior. The models of [30], [31], [32], [33], [34], [35] can therefore be viewed as a type of wall-layer closure embedded within a large-eddy simulation for the bulk of the flow, and as such, all of the algorithmic and modeling issues pertinent to large-eddy simulation and DNS are applicable. Earlier applications of hybrid LES–RANS models to SWTBLIs generated from compression–corners (Princeton 20° compression–corner [38], [39]; Zheltovodov et al. 25° compression–expansion corner [40], [41]) yielded reasonable agreement with surface quantities and mean velocity profiles, but no comparisons with second-moment quantities were made. A more recent study [35] has attempted to utilize hybrid LES–RANS methods to examine the dynamics of a SWTBLI interaction generated by Mach 5, Reδ=87.7×104 flow over a 28° compression–corner [42], [43], [44]. Some results from this investigation are reviewed herein, as well as results from simulations of supersonic turbulent boundary layers that serve to test the Reynolds-number independence of the LES–RANS models.
In summary, this paper will review recent results from three different types of time-dependent modeling strategies—DNS (Martin group) wall-resolved LES (Adams group) and hybrid LES–RANS (Edwards group)—as applied primarily to compression–corner experiments at different Reynolds numbers. Rather than discussing each case independently, the review will highlight the use of each model in predicting particular aspects of SWTBLIs: the structure of the incoming boundary layer, mean-flow properties, instantaneous flow structure, the evolution of the Reynolds-stress tensor, and shock-system dynamics. Implications and challenges for future work will conclude the review.
Section snippets
Numerical methods
In all cases reviewed, the governing equations are the compressible Navier–Stokes equations written for a single-component perfect gas. For the LES and hybrid LES–RANS methods, the governing equations are spatially filtered, and the unresolved components related to the resolved components through application of a closure model. The details are specific to the particular model and will be discussed later. In the DNS calculations of the Martin group and in the LES calculations of the Adams group,
Turbulence models
Subgrid closure models used in LES or hybrid LES–RANS simulations of SWTBLIs have included MILES (which uses no explicit subgrid model) [8], [26], constant-coefficient Smagorinsky models [35], dynamic Smagorinsky models [11], [12], mixed-scale models [26], one-equation subgrid models [30], [31], [32], [33], and ADM [28]. From the few comparative studies that have been performed [8], [25], it appears that the choice of subgrid model does not have a profound effect on the computed results, but
Results
The cases reviewed in this paper are summarized in Table 1. Resolution metrics are presented in terms of the total number of cells/points and in the number of cells per incoming boundary layer thickness in the wall-transverse directions (X and Z), rather than in wall units. The expense of these calculations is proportional to the resolution required in the wall-transverse directions. For the wall-resolved LES calculations, this relates to the need to resolve the anisotropic fine-scale structure
Conclusions
This paper has attempted to review recent progress made in the use of time-resolved computational techniques (DNS, LES, and LES–RANS) in predicting the structure of nominally two-dimensional SWTBLIs induced by compression ramps. This fundamental ‘building block’ flow has received widespread attention within the turbulence modeling community and to this point, there have been no completely successful RANS calculations of this type of flow. That time-dependent modeling strategies offer the
Challenges and directions for future study
Some directions and challenges for future applications of DNS–LES/and hybrid LES–RANS techniques in the study of shock/boundary layer interactions are summarized as follows.
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SWTBLIs with heat transfer. Though several of items mentioned as challenges for RANS modeling in the Introduction appear to have been resolved through the use of time-dependent techniques, there have been very few attempts to simulate interactions with significant wall heating. Zheltovodov et al. [40], [69], [70] have
Acknowledgments
Professor Pino Martin of Princeton University and Professor Nikolaus Adams of the Technical University of Munich are gratefully acknowledged for providing figures relating to their work. A special word of thanks is extended to Professor Martin for reviewing and commenting upon an earlier version of this manuscript. The work of the Edwards group in this scope has been sponsored by the Army Research Office (W911NF-06-1-0299), NASA (NNX07AC27A-S02), and AFOSR (FA9550-0701-0191). The work of the
References (78)
- et al.
Advances in CFD prediction of shock wave turbulent boundary layer interactions
Prog Aerospace Sci
(2003) - et al.
A bandwidth optimized WENO scheme for the effective direct numerical simulation of compressible turbulence
J Comput Phys
(2006) - et al.
Optimization of nonlinear error for weighted non-oscillatory methods in direct numerical simulations of compressible turbulence
J Comput Phys
(2007) - et al.
The piecewise parabolic method (PPM) for gas-dynamical simulations
J Comput Phys
(1984) A low-diffusion flux-splitting scheme for Navier-Stokes calculations
Comput Fluids
(1997)- et al.
On the generation of turbulent inflow conditions for boundary layer simulation
J Comput Phys
(1998) - Delery J, Panaras A. Shock-wave/boundary layer interactions in high Mach number flows. AGARD AR-319, vol. 1, May...
- Knight D, Degrez G. Shock wave/boundary layer interactions in high Mach number flows—a critical survey of current CFD...
- Zheltovodov AA. Some advances in research of shock wave turbulent boundary layer interactions. AIAA paper 2006-0496,...
- Hunt D, Nixon D. A very large eddy simulation of an unsteady shock wave/turbulent boundary layer interaction. AIAA...
Unsteadiness of the separation shock-wave structure in a supersonic compression ramp flowfield
AIAA J
Direct numerical simulation of turbulent compression ramp flow
Theor Comput Fluid Dyn
Direct numerical simulation of turbulent boundary layer along a compression ramp at M=3 and Reθ=1685
J Fluid Mech
Large eddy simulation of a supersonic boundary layer using an unstructured grid
AIAA J
Large-eddy simulation of supersonic compression-ramp flow by high-order method
AIAA J
Application of large-eddy simulation to supersonic compression ramps
AIAA J
Large eddy simulation of high Reynolds number supersonic boundary layers using the approximate deconvolution model and a rescaling and recycling technique
Phys Fluids
Direct numerical simulation of supersonic turbulent boundary layer over a compression ramp
AIAA J
Analysis of shock motion in STBLI using direct numerical simulation data
J Fluid Mech
Direct numerical simulation of impinging shock wave/turbulent boundary layer interaction at M=2.25
Phys Fluids
Large eddy simulation of shock/boundary layer interaction
AIAA J
Subgrid-scale models for large-eddy simulations of compressible, wall-bounded flows
AIAA J
Large eddy simulation of shock-wave/turbulent-boundary-layer interaction
J Fluid Mech
An approximate deconvolution procedure for large-eddy simulation
Phys Fluids
Hybrid RANS/LES approach for cavity flows: blending, algorithm, and boundary treatment issues
AIAA J
Inflow boundary conditions for hybrid large-eddy/Reynolds-averaged Navier–Stokes simulations
AIAA J
Hybrid large-eddy/Reynolds-averaged Navier–Stokes simulations of shock-separated flows
J Spacecraft Rockets
Blending functions in hybrid large-eddy/Reynolds-averaged Navier–Stokes simulations
AIAA J
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