New PDF release: ADIGMA - A European Initiative on the Development of

By Norbert Kroll (auth.), Norbert Kroll, Heribert Bieler, Herman Deconinck, Vincent Couaillier, Harmen van der Ven, Kaare Sørensen (eds.)

ISBN-10: 3642037062

ISBN-13: 9783642037061

ISBN-10: 3642037070

ISBN-13: 9783642037078

This quantity includes effects won from the EU-funded sixth Framework venture ADIGMA (Adaptive Higher-order Variational equipment for Aerodynamic purposes in Industry). The aim of ADIGMA used to be the advance and usage of cutting edge adaptive higher-order tools for the compressible movement equations allowing trustworthy, mesh self reliant numerical options for large-scale aerodynamic purposes in airplane undefined. The ADIGMA consortium was once constituted of 22 enterprises which incorporated the most eu plane brands, the most important eu learn institutions and a number of other universities, all with good confirmed services in Computational Fluid Dynamics (CFD). The ebook offers an creation to the undertaking, shows companions’ equipment and ap-proaches and offers a serious overview of the newly constructed equipment for commercial aerodynamic functions. the easiest numerical techniques for integration as significant construction blocks for the following iteration of business stream solvers are pointed out.

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Additional resources for ADIGMA - A European Initiative on the Development of Adaptive Higher-Order Variational Methods for Aerospace Applications: Results of a collaborative research project funded by the European Union, 2006-2009

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Ex = log 6ν β − 2 logy, (3) and φ is the one-dimensional polynomial basis adopted to define ω . From Eq. (2) we can then compute ωwk = ω (0) for any desired polynomial degree k. These values can be compared to that of Menter in terms of the first cell height fraction, αk , by setting 6ν ωwk = log , (4) β (αk y1 )2 and thus obtaining αk = 1 y1 6ν 1 . 5303×10−2 Fig. 1 Cell height fraction, αk , vs. polynomial degree k Figure 1 shows the values of the cell height fraction, αk for k = 0, . . , 10.

Bassi et al. Fig. 2 Flat plate: skin-friction, velocity profiles and turbulence quantities The weak form of Eq. (6) reads Ω φ ∂u dx − ∂t Ω ∇φ · F(u, ∇u) dx + ∂Ω φ F(u, ∇u) · n dσ + Ω φ s(u, ∇u) dx = 0, (7) where φ denotes any arbitrary, sufficiently smooth, test function and F is the sum of the inviscid and viscous fluxes. The DG discretization of Eq. (7) is defined on a triangulation Th = {K} of an approximation Ωh of Ω , consisting of a set of non-overlapping hybrid-type elements. The following space setting of discontinuous piecewise polynomial functions for each component uhi = uh1 , .

Colombo, A. Crivellini, N. Franchina, A. Ghidoni, and S. Rebay Abstract. This chapter presents high-order DG solutions of the RANS and k-ω turbulence model equations for transonic flows around aeronautical configurations. A directional shock-capturing term, proportional to the inviscid residual, is employed to control oscillations around shocks. Implicit time integration is applied to the fully coupled RANS and k-ω equations. Several high-order DG results of 2D and 3D transonic turbulent test cases proposed within the ADIGMA project demonstrate the capability of the method.

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ADIGMA - A European Initiative on the Development of Adaptive Higher-Order Variational Methods for Aerospace Applications: Results of a collaborative research project funded by the European Union, 2006-2009 by Norbert Kroll (auth.), Norbert Kroll, Heribert Bieler, Herman Deconinck, Vincent Couaillier, Harmen van der Ven, Kaare Sørensen (eds.)


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