By Rolf Radespiel, Reinhard Niehuis, Norbert Kroll, Kathrin Behrends
The ebook stories on complicated ideas to the matter of simulating wing and nacelle stall, as offered and mentioned via the world over well-known researchers on the final Symposium of the DFG study Unit FOR 1066. trustworthy simulations of movement separation on airfoils, wings and powered engine nacelles at excessive Reynolds numbers signify nice demanding situations in defining appropriate mathematical types, computing numerically exact ideas and delivering finished experimental facts for the validation of numerical simulations. extra difficulties come up from the necessity to give some thought to airframe-engine interactions and inhomogeneous onset stream stipulations, as actual airplane function in atmospheric environments with often-large distortions. The findings of primary and utilized learn into those and different similar concerns are mentioned intimately during this e-book, which ambitions all readers, lecturers and pros alike, attracted to the advance of complex computational fluid dynamics modeling for the simulation of complicated plane flows with move separation.
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Extra resources for Advances in Simulation of Wing and Nacelle Stall Results
References 1. : Comments on the feasibility of LES for wings, and on a hybrid RANS/LES Approach. In: Advances in DNS/LES, 1st AFOSR Int. Conf. on DNS/LES, Columbus Oh (1997) 2. : A new version of detached-eddy simulation, resistant to ambiguous grid densities. Theoretical and Computational Fluid Dynamics 20(3), 181–195 (2006) 3. : A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities. International Journal of Heat and Fluid Flow 29(6), 1638–1649 (2008) 4. : Synthetic Turbulence Generators for RANS-LES Interfaces in Zonal Simulations of Aerodynamic and Aeroacoustic Problems.
8, right) show that without applying ST, the computation results in a too large separation. Unlike, the mean velocity profile computed with ST forcing agrees very well with the distributions provided by the experiments. The same can be observed for the mean pressure coefficient distribution (Fig. 9), where the forced solution provides a significantly improved pressure recovery in the trailing edge area, with a smaller separation. Figure 10 displays iso-surfaces of the Q criterion for the computation performed with and without ST forcing.
In general, it is not feasible to repeat a scale-resolving simulation this often to compute the ensemble/phase averages. Instead the mean values and fluctuations need to be obtained from a single simulation. In the presence of instationary inflow conditions, the mean values in the simulation are computed with a weighted movingaverage (WMA) formulation: u t = u t−1 + w(s) ∗ u(t) − u t−1 , where the influence of the old samples decays exponentially through the weighting factor w(s) = 2/(s + 1). In order to assess w(s), the WMA mean values of the experimental FHP data using three different weights are compared in Fig.