An extended e(N)-based modeling approach. for Tollmien-Schlichting-type transition in aerodynamic flow simulations with the low-Re epsilon(h)-Reynolds-stress model is presented. Instead of simply activating the turbul...
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An extended e(N)-based modeling approach. for Tollmien-Schlichting-type transition in aerodynamic flow simulations with the low-Re epsilon(h)-Reynolds-stress model is presented. Instead of simply activating the turbulence production terms at the transition location (point-transition approach), the method incorporates the otherwise neglected Reynolds-stress contributions by the fluctuations of the Tollmien-Schlichting waves and provides them as local input for the turbulence model at the transition point. The shapes of the Reynolds-stress profiles are derived from linear stability analysis within the e(N) method, whereas their absolute magnitudes are calibrated with the aid of direct numerical simulation data of a transitional boundary layer with adverse-pressure gradient. The dissipation-rate input is adjusted to theoretically match the amplification rate of the fluctuations but requires a correction to account for the low-Re damping in the epsilon(h)-Reynolds-stress model. The paper describes the general modeling ideas and the implementation in the flow solver. Aspects of the numerical discretization and a verification for three-dimensional flows are addressed as well. Besides a basic validation for the adverse-pressure-gradient boundary layer, simulations of the SD7003 airfoil flow comprising a laminar separation bubble are presented, which yield very good agreement with measurements. Results of a transitional flat-plate flow are, however, impaired by the lack of intermittency modeling. Finally, the method is applied to a flowthrough nacelle near stall conditions in order to prove its ability to compute consistent transitional behavior in complex three-dimensional flows.
A unified least-squares Petrov-Galerkin (LSPG) framework for projection-based model order reduction featuring three different approximation manifolds [affine manifold, quadratic manifold, and nonlinear manifold built ...
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A unified least-squares Petrov-Galerkin (LSPG) framework for projection-based model order reduction featuring three different approximation manifolds [affine manifold, quadratic manifold, and nonlinear manifold built using a deep artificial neural network (ANN)] is presented. Its performance was assessed for a variable-speed version of the double-cone hypersonic benchmark problem. First, a high-dimensional viscous computational fluid dynamics model (HDM) was constructed, verified, and validated. The dimensionality of the HDM was then reduced using LSPG, each of the aforementioned approximation manifolds, and a global right reduced-order basis trained in the range 8 <= M infinity <= 13. Each resulting global projection-based reduced-order model (PROM) was hyper-reduced and transformed into a hyper-reduced PROM (HPROM). The accuracy of each constructed HPROM was assessed for various quantities of interest and contrasted with that of snapshot interpolation. For this purpose, three different error measures were considered and discussed in the context of shock-dominated problems. Wall-clock and CPU time speedup factors are reported. Overall, it was shown that using a relatively small set of training data, all constructed LSPG HPROMs were nonlinearly stable, real-time capable, and highly predictive. The LSPG HPROM constructed using a nonlinear approximation manifold and an ANN was the most computationally efficient.
There are few successful computational reports for transonic airfoil now worked out with the pressure-based method. In this study, an advanced approach based on a pressure correction scheme is developed to solve the R...
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There are few successful computational reports for transonic airfoil now worked out with the pressure-based method. In this study, an advanced approach based on a pressure correction scheme is developed to solve the Reynolds-averaged Navier-Stokes equations for turbulent transonic now around the airfoil RAE 2822. An implicit numerical dissipation model is adopted to create a dissipation mechanism based on pressure gradients to damp the destabilizing numerical effects, without smearing the physical discontinuity at shocks. The standard k-epsilon turbulence closure with a near-wall one-equation model is used. The computational results are compared with experimental data. Several discretization schemes such as the second-order upwind, hybrid, and MUSCL schemes for convection terms are investigated. The computational results show that the proposed pressure-based method has a resolution comparable to, or better than, the traditional time-marching methods.
Examines ways to exploit computational simulation more effectively in the overall design process with the primary focus on aerodynamic design. Phases of the design process; Main requirements for effective computationa...
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Examines ways to exploit computational simulation more effectively in the overall design process with the primary focus on aerodynamic design. Phases of the design process; Main requirements for effective computational fluid dynamics (CFD) software; Basic techniques of computational flow simulation.
A novel approach to compute affordable approximate sensitivities in a large-eddy simulation (LES) is proposed and assessed. The approach is based on solving a Reynolds-averaged Navier-Stokes (RANS) problem that has be...
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A novel approach to compute affordable approximate sensitivities in a large-eddy simulation (LES) is proposed and assessed. The approach is based on solving a Reynolds-averaged Navier-Stokes (RANS) problem that has been linearized around the mean LES solution, with closure modeling required for the linearized changes in turbulent Reynolds stresses. In the present study, the closure modeling is based on a linearized algebraic turbulence model. The method is assessed for the flow over a NACA0012 airfoil at a fixed angle of attack, with the Reynolds number as the variable parameter. The results show that, provided an accurate linearized closure model, the method predicts the correct sensitivity of the skin friction coefficient and the mean velocity field at the cost of a linearized RANS, which provides an important proof-of-concept for this approach. The linearized algebraic turbulence model with standard model coefficients produces a reasonably accurate sensitivity, but the results also suggest that accuracy could be gained from recalibrating the model coefficients for this new use of the model.
The development and preliminary validation of a new k-omega turbulence model based on explicit algebraic Reynolds-stress modeling are presented. This new k-omega model is especially designed for the requirements typic...
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The development and preliminary validation of a new k-omega turbulence model based on explicit algebraic Reynolds-stress modeling are presented. This new k-omega model is especially designed for the requirements typical in high-lift aerodynamics. Attention is especially paid to the model behavior at the turbulent/laminar edges, to the model sensitivity to pressure gradients, and to the calibration of the model coefficients for appropriate flow phenomena. The model development is based on both analytical studies and numerical experimenting. The developed;model is assessed and validated for a set of realistic flow problems including high-lift airfoil flows.
An adjoint solver is implemented in the FUN3D stabilized finite-element flow solver. The adjoint solution is used to generate anisotropic, adapted meshes to control error in scalar output functionals, such as lift or ...
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ISBN:
(数字)9781624105890
ISBN:
(纸本)9781624105890
An adjoint solver is implemented in the FUN3D stabilized finite-element flow solver. The adjoint solution is used to generate anisotropic, adapted meshes to control error in scalar output functionals, such as lift or drag coefficient. The inviscid and turbulent adjoints are verified with a finite-difference derivative approximation and can be used in design optimization in addition to mesh adaptation. The adjoint capability represents an extension of previous research using the FUN3D stabilized finite-element capability with metric-based mesh adaptation and interpolation-based error estimates to generate highly anisotropic adapted meshes for turbulent flows. In the present work, a metric-based approach is again utilized, where the adjoint and the primal solutions both contribute to the generation of a metric tensor field that is subsequently used to produce the required anisotropic mesh for each adaptation cycle. Adaptive results are then shown for an inviscid supersonic flow over a diamond airfoil, inviscid transonic flow over the ONERA M6 wing, and viscous laminar flow over the NACA 0012 airfoil, all using drag force as the output functional. Adjoint-based adaptation is compared with a multiscale solution-based approach that controls the L-p norm of Mach number interpolation error to demonstrate the effectiveness and e fficiency of the adjoint-based adaptive mesh technology.
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