The LES-method is rapidly developing in many practical applications in engineering

The mathematical background is presented here for the first time in book form by one of the leaders in the field

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.

The LES-method is rapidly developing in many practical applications in engineering

The mathematical background is presented here for the first time in book form by one of the leaders in the field

This book treats the numerical analysis of finite element computational fluid dynamics. Assuming minimal background, the text covers finite element methods; the derivation, behavior, analysis, and numerical analysis of Navier-Stokes equations; and turbulence and turbulence models used in simulations. Each chapter on theory is followed by a numerical analysis chapter that expands on the theory. The chapters contain numerous exercises. Introduction to the Numerical Analysis of Incompressible Viscous Flows provides the foundation for understanding the interconnection of the physics, mathematics, and numerics of the incompressible case, which is essential for progressing to the more complex ?ows not addressed in this book (e.g., viscoelasticity, plasmas, compressible ?ows, coating ?ows, ?ows of mixtures of ?uids, and bubbly ?ows). With mathematical rigor and physical clarity, the book progresses from the mathematical preliminaries of energy and stress to ?nite element computational ?uid dynamics in a format manageable in one semester.