This book is intended for selfstudy or as a companion of lectures delivered to postgraduate students on the subject of the computational prediction of complex turbulent flows. There are several books in the extensive literature on turbulence that deal, in statistical terms, with the phenomenon itself, as well its many manifestations in the context of fluid dynamics. Statistical Turbulence Modelling for Fluid Dynamics  Demystified differs from these and focuses on the physical interpretation of a broad range of mathematical models used to represent the timeaveraged effects of turbulence in computational prediction schemes for fluid flow and related transport processes in engineering and the natural environment. It dispenses with complex mathematical manipulations and instead gives physical and phenomenological explanations. This approach allows students to gain a 'feel' for the physical fabric represented by the mathematical structure that describes the effects of turbulence and the models embedded in most of the software currently used in practical fluidflow predictions, thus counteracting the illinformed blackbox approach to turbulence modelling. This is done by taking readers through the physical arguments underpinning exact concepts, the rationale of approximations of processes that cannot be retained in their exact form, and essential calibration steps to which the resulting models are subjected by reference to theoretically established behaviour of, and experimental data for, key canonical flows.
About Michael Leschziner
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Author  :  Michael Leschziner 
Publisher  :  Imperial College Press 
Data Published  :  25 October 2015 
ISBN  :  1783266600 
EAN  :  9781783266609 
Format Book  :  PDF, Epub, DOCx, TXT 
Number of Pages  :  424 pages 
Age +  :  18 years 
Language  :  English 
Rating  : 
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