Broadband Trailing-Edge Noise Predictions| Overview of BANC-III Results

The Third Workshop on Benchmark Problems for Airframe Noise Computations, BANC-III, was held on 14-15 June 2014 in Atlanta, Georgia, USA. The objective of this workshop was to assess the present computational capability in the area of physics-based prediction of different types of airframe noise problems and to advance the state-of-the-art via a combined effort. This documentation summarizes the results from workshop category 1 (BANC-III-1) which focuses on the prediction of broadband turbulent boundary-layer trailing-edge noise and related source quantities. Since the forerunner BANC-II workshop identified some room for improvements in the achieved prediction quality, BANC-III-1 relies on the same test cases, namely 2D NACA0012 and DU96-W-180 airfoil sections in a uniform flow. Compared to BANC-II particularly the scatter among predictions for the DU96-W- 180 test case could be significantly reduced. However, proposed adaptations of previously applied computational methods did not systematically improve the prediction quality for all requested parameters. The category 1 workshop problem remains a challenging simulation task due to its high requirements on resolving and modeling of turbulent boundary-layer source quantities.

[1]  K. L. Chandiramani Diffraction of evanescent waves, with applications to aerodynamically scattered sound and radiation from unbaffled plates , 1974 .

[2]  M. S. Howe A review of the theory of trailing edge noise , 1978 .

[3]  D. Chase Modeling the wavevector-frequency spectrum of turbulent boundary layer wall pressure , 1980 .

[4]  T. Brooks,et al.  Trailing edge noise prediction from measured surface pressures , 1981 .

[5]  Thomas F. Brooks,et al.  Airfoil self-noise and prediction , 1989 .

[6]  F. Menter Two-equation eddy-viscosity turbulence models for engineering applications , 1994 .

[7]  Lucas J. van Vliet,et al.  Recursive implementation of the Gaussian filter , 1995, Signal Process..

[8]  Niels N. Sørensen,et al.  General purpose flow solver applied to flow over hills , 1995 .

[9]  M. S. Howe Acoustics of fluid-structure interactions , 1998 .

[10]  William K. Blake,et al.  A Correlation Length Scale for the Prediction of Aeroacoustic Response , 2002 .

[11]  N. Roberts,et al.  Numerical Aspects of the Application of Recursive Filters to Variational Statistical Analysis. Part II: Spatially Inhomogeneous and Anisotropic General Covariances , 2003 .

[12]  W. Schröder,et al.  Acoustic perturbation equations based on flow decomposition via source filtering , 2003 .

[13]  Sukumar Chakravarthy,et al.  Towards a Generalized Non-Linear Acoustics Solver , 2004 .

[14]  William K. Blake,et al.  Turbulence Correlation Length-Scale Relationships for the Prediction of Aeroacoustic Response , 2005 .

[15]  Thierry Pun,et al.  The Gaussian Transform , 2005, 2005 13th European Signal Processing Conference.

[16]  Roland Ewert CAA Slat Noise Studies Applying Stochastic Sound Sources Based On Solenoidal Digital Filters , 2005 .

[17]  Roland Ewert,et al.  RPM - the fast Random Particle-Mesh method to realize unsteady turbulent sound sources and velocity fields for CAA applications. , 2007 .

[18]  P. Spalart,et al.  A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities , 2008 .

[19]  R. Ewert Broadband slat noise prediction based on CAA and stochastic sound sources from a fast random particle-mesh (RPM) method , 2008 .

[20]  Roland Ewert,et al.  Sweeping Sound Generation in Jets Realized with a Random Particle-Mesh Method , 2009 .

[21]  Roland Ewert,et al.  A CAA Based Approach to Tone Haystacking , 2009 .

[22]  Michaela Herr,et al.  RANS/CAA based prediction of NACA 0012 broadband trailing edge noise and experimental validation , 2009 .

[23]  Mohammad Kamruzzaman,et al.  On the Length Scales of Turbulence for Aeroacoustic Applications , 2011 .

[24]  Sukumar Chakravarthy,et al.  Smart Sub-Grid-Scale Models for LES and Hybrid RANS/LES , 2011 .

[25]  Roland Ewert,et al.  CAA broadband noise prediction for aeroacoustic design , 2011 .

[26]  Kazuomi Yamamoto,et al.  Integrating CFD, CAA, and Experiments towards Benchmark Datasets for Airframe Noise Problems , 2012 .

[27]  M. Dieste,et al.  Random particle methods applied to broadband fan interaction noise , 2012, J. Comput. Phys..

[28]  M. Herr,et al.  Problem Statement for the AIAA/CEAS Second Workshop on Benchmark Problems for Airframe Noise Computations (BANC-II) , 2012 .

[29]  Ewald Krämer,et al.  Semi-Empirical Modeling of Turbulent Anisotropy for Airfoil Self-Noise Predictions , 2012 .

[30]  Michaela Herr,et al.  Benchmarking of Trailing-Edge Noise Computations - Outcome for the BANC-II Workshop , 2013 .

[31]  Roland Ewert,et al.  Generic Airfoil Trailing-Edge Noise Prediction using Stochastic Sound Sources from Synthetic Turbulence , 2014 .

[32]  Andrea Iob,et al.  Generating Trailing-Edge Noise Predictions Using Synthetic Turbulence , 2014 .

[33]  Thorsten Lutz,et al.  Rnoise: A RANS Based Airfoil Trailing-edge Noise Prediction Model , 2014 .

[34]  Andreas Fischer,et al.  Tuning of turbulent boundary layer anisotropy for improved surface pressure and trailing-edge noise modeling , 2014 .

[35]  Roland Ewert,et al.  Towards high-lift noise from Fast Multipole BEM with anisotropic synthetic turbulence sources , 2015 .

[36]  Nan Hu,et al.  Generalised turbulence spectra for broadband noise predictions with the Random Particle Mesh method , 2015, ArXiv.