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VAL idation and I mprovement of A irframe N oise prediction T ools (ACP8-GA-2009-233680) WP 4 – Improvements of Numerical CAA Approaches Task 4.1 – Improvements of source modelling Compiled by: M.Shur, M.Strelets (NTS). Task 4.1 objectives Partners involved and allocated efforts
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VALidation and Improvement of Airframe Noise prediction Tools(ACP8-GA-2009-233680)WP 4 – Improvements of Numerical CAA ApproachesTask 4.1 – Improvements of source modelling Compiled by:M.Shur, M.Strelets (NTS)
Task 4.1 objectives Partners involved and allocated efforts Main directions of work (according to DoW) Overview of partners’ contributions OUTLINE
Task Objectives • GeneralWP-4 objective: Development of improved simulation • approaches and enhanced algorithms for AFN prediction • Within envisioned avenues of improvements identified in VALIANT DoW • Based on the weak points of the state-of-the-art tools discovered by Partners in the course of WP3 • In particular, Task 4.1 deals with improvements in the area of • Turbulent Noise Source Modelling • These include both: • Approaches to turbulence simulation (Sub-Task 4.1.1) • Higher order schemes (Sub-Task 4.1.2)
Partners and Allocated Efforts • All “numerical teams”, except for LMS (8 Partners), are involved • Green – Provided • Red – Not provided • Deliverables: • D21 – Intermediate report (month 21 – May 2011) • D31 – Final report (month 30 – February 2012)
Main Directions of Partners’ Work (DoW) • VKI • Extension of steady higher order space discretization Residual Distribution Schemes developed by VKI earlier on time-dependent computations on unstructured grids, to cope with CAA problems • IMM • Enhancement of in-house codes by implementation of: • Kinetically consistent formulations of turbulence-resolving approaches (better representation of near-wall turbulence) • Higher-order approximations on unstructured grids • TUB • Improvement of hybrid RANS-LES approaches implemented in in-house code • “DDES-type” methods – reducing inaccuracies associated with the so-called “grey area” (may be important for gap turbulence interaction test case) • “WMLES-type methods” – removing minor “log-layer mismatch” predicted by the IDDES within the code
Main Directions of Work - 2 • ONERA • Development of improved methods of creating turbulent fluctuations at the upstream boundary of LES domain within 2-stage RANS-NLDE approach (important for wing-flap test case) • Techniques will be based on Synthetic Eddy Method of Jarrin et al.: expected to produce more realistic turbulence since it allows to reproduce both 1st- and 2nd-order moments • NTS • Work on same issue, in the framework of Embedded IDDES • Enhancement of earlier developed turbulence-recycling procedure • Development of new efficient generator of “synthetic turbulence” at RANS-LES interface (more flexible and user-friendly than recycling) • DLR • Extending of stochastic approach to noise generation to the case of mean flows supporting self-sustained large-scale oscillations (important for slat-wing and gap turbulence test cases)
Main Directions of Work – 3 • CIMNE • Extension of SGS-modelling developed by CIMNE earlier for stabilization of the FE formulations to simulation of turbulence • NUMECA • Validation of promising techniques of acceleration of LES-based computations on broadband noise prediction problems • Extension of capabilities of LEE solver for acoustic propagation based on high order Discontinuous Galerkin formulation
OVERVIEW of Partners Contributions • VKI • IMM • TUB • ONERA • DLR • CIMNE • NTS • NUMECA
Summary of VKI Contribution (1/2) “Title if applicable”, authors
Summary of IMM Contribution (1/2) “Title if applicable”, authors
Summary of TUB Contribution (1/2) “Title if applicable”, authors
Summary of ONERA Contribution (1/2) “Title if applicable”, authors
Summary of DLR Contribution (1/2) “Title if applicable”, authors
Summary of CIMNE Contribution (1/2) “Title if applicable”, authors
Summary of NTS Contribution (1/2) “Title if applicable”, authors
Summary of NUMECA Contribution (1/2) “Title if applicable”, authors