Approximate deconvolution models of turbulence: analysis, phenomenology and numerical analysis

This volume presents a mathematical development of a recent approach to the modeling and simulation of turbulent flows based on methods for the approximatesolution of inverse problems. The resulting Approximate Deconvolution Models or ADMs have some advantages over more commonly used turbulence models - as well as some disadvantages. Our goal in this book is to provide a clear and complete mathematical development of ADMs, while pointing out the difficulties that remain. In order to do so, we present the analytical theory of ADMs, along with its connections, motivations and complements in the phenomenology of and algorithms for ADMs. Comprehensive treatment of the subject including modeling, analysis, phenomenology and numerical analysis. Includes both turbulence models and Navier-Stokes regularizations. Presents current state of the models and indicates important questions for further development INDICE: 1 Introduction. 2 Large Eddy Simulation. 3 Approximate Deconvolution Operators and Models. 4 Phenomenology of ADMs. 5 Time Relaxation Truncates Scales. 6 The Leray-Deconvolution Regularization. 7 NS-alpha- and NS-omega-Deconvolution Regularizations.

• ISBN: 978-3-642-24408-7
• Editorial: Springer Berlin Heidelberg
• Encuadernacion: Rústica
• Páginas: 176
• Fecha Publicación: 31/01/2012
• Nº Volúmenes: 1
• Idioma: Inglés