Approximate Deconvolution Models of Turbulence : Analysis, Phenomenology and Numerical Analysis / by William J. Layton, Leo Rebholz.

Format:

Book

Author/Creator:

Layton, W. J. (William J.), author.

Rebholz, Leo, author.

Contributor:

SpringerLink (Online service)

Series:

Lecture Notes in Mathematics, 0075-8434 ; 2042.

Lecture Notes in Mathematics, 0075-8434 ; 2042

Language:

English

Subjects (All):

Numerical analysis.

Hydraulic engineering.

Numerical Analysis.

Engineering Fluid Dynamics.

Local Subjects:

Numerical Analysis.

Engineering Fluid Dynamics.

Physical Description:

1 online resource (VIII, 184 pages 22 illustrations, 11 illustrations in color).

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

9783642244094

Access Restriction:

Restricted for use by site license.