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Titlebook: Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics; Results of the Germa Bernhard Eisfeld,Holger Barnewitz,F

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書目名稱Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics
副標(biāo)題Results of the Germa
編輯Bernhard Eisfeld,Holger Barnewitz,Frank Thiele
視頻videohttp://file.papertrans.cn/623/622254/622254.mp4
概述Recent advances in numerical aerodynamics.Report of the German research initiative MUNA which aimed to develop methods and procedures for reducing various types of uncertainties present in numerical f
叢書名稱Notes on Numerical Fluid Mechanics and Multidisciplinary Design
圖書封面Titlebook: Management and Minimisation of Uncertainties and Errors in Numerical Aerodynamics; Results of the Germa Bernhard Eisfeld,Holger Barnewitz,F
描述.This volume reports results from the German research initiative MUNA (Management and Minimization of Errors and Uncertainties in Numerical Aerodynamics), which combined development activities of the German Aerospace Center (DLR), German universities and German aircraft industry. The main objective of this five year project was the development of methods and procedures aiming at reducing various types of uncertainties that are typical of numerical flow simulations. The activities were focused on methods for grid manipulation, techniques for increasing the simulation accuracy, sensors for turbulence modelling, methods for handling uncertainties of the geometry and grid deformation as well as stochastic methods for quantifying aleatoric uncertainties..
出版日期Book 2013
關(guān)鍵詞Grid Manipulation Methods; Handling Uncertainties of Geometry and Deformation; MUNA; Numerical Accuracy
版次1
doihttps://doi.org/10.1007/978-3-642-36185-2
isbn_softcover978-3-642-42820-3
isbn_ebook978-3-642-36185-2Series ISSN 1612-2909 Series E-ISSN 1860-0824
issn_series 1612-2909
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Minimization and Quantification of Errors and Uncertainties in RANS Modeling are currently the principle workhorse for the simulation of turbulent flows in industrial aerodynamics. However, significant problems arise from the inherent empricism of such Reynolds-averaged Navier-Stokes (RANS) approaches. First and foremost, the current state of the art is that no universally-
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Sensor Controlled Zonal RANS-LES Methodlonger provide physically reliable results. These regions of the computational domain were then treated with a higher order turbulence model to suppress the modeling error being introduced by standard turbulence models inherent to RANS simulations. The sensor evaluates flow characteristics such as p
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Statistical Analysis of Parameter Variations Using the Taguchi Methodeters, inflow conditions and geometrical parameters. To evaluate the influence of different parameters on the results of an experiment or simulation usually a full parameter analysis must be performed. A full parameter analysis requires a high number of simulations, rising with the number of paramet
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