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 approximate solution of inverse problems. The resulting Approximate Deconvolution Models or ADMs have some advantages over more commonly used turbulence mod...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Layton, William J. (Συγγραφέας), Rebholz, Leo (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Σειρά:Lecture Notes in Mathematics, 2042
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Layton, William J.  |e author. 
245 1 0 |a Approximate Deconvolution Models of Turbulence  |h [electronic resource] :  |b Analysis, Phenomenology and Numerical Analysis /  |c by William J. Layton, Leo Rebholz. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2012. 
300 |a VIII, 184 p. 22 illus., 11 illus. in color.  |b online resource. 
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490 1 |a Lecture Notes in Mathematics,  |x 0075-8434 ;  |v 2042 
505 0 |a 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. 
520 |a This volume presents a mathematical development of a recent approach to the modeling and simulation of turbulent flows based on methods for the approximate solution 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. 
650 0 |a Mathematics. 
650 0 |a Numerical analysis. 
650 0 |a Fluid mechanics. 
650 1 4 |a Mathematics. 
650 2 4 |a Numerical Analysis. 
650 2 4 |a Engineering Fluid Dynamics. 
700 1 |a Rebholz, Leo.  |e author. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642244087 
830 0 |a Lecture Notes in Mathematics,  |x 0075-8434 ;  |v 2042 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-24409-4  |z Full Text via HEAL-Link 
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