Computational Turbulent Incompressible Flow

Large book cover: Computational Turbulent Incompressible Flow

Computational Turbulent Incompressible Flow

Publisher: Springer
ISBN/ASIN: 3540465316
ISBN-13: 9783540465317
Number of pages: 415

In this book we address mathematical modeling of turbulent fluid flow, and its many mysteries that have haunted scientist over the centuries; such as the dAlembert mystery of drag in an inviscid flow, the Sommerfeld mystery of transition to turbulence in shear flow, and the Loschmidt mystery of violation of the 2nd law of thermodynamics.

Home page url

Download or read it online for free here:
Download link
(22MB, PDF)

Similar books

Book cover: Introduction to Statistical Theory of Fluid TurbulenceIntroduction to Statistical Theory of Fluid Turbulence
by - arXiv
Fluid and plasma flows exhibit complex random behaviour, called turbulence. This text is a brief introduction to the statistical theory of fluid turbulence, with emphasis on field-theoretic treatment of renormalized viscosity and energy fluxes.
Book cover: The Secret of FlightThe Secret of Flight
A theory of subsonic flight based on a combination of analysis and computation. We uncover a mechanism for the generation of substantial lift at the expense of small drag of a wing, which is fundamentally different from the classical theories.
Book cover: An Introduction to Theoretical Fluid DynamicsAn Introduction to Theoretical Fluid Dynamics
by - New York University
This course will deal with a mathematical idealization of common fluids. The main idealization is embodied in the notion of a continuum and our 'fluids' will generally be identified with a certain connected set of points in 1, 2, or 3 dimensions.
Book cover: Fluid Flow at Branching JunctionsFluid Flow at Branching Junctions
by - arXiv
The flow of fluids at branching junctions plays important roles in most biological flow systems. The present paper highlights some key issues related to the flow of fluids at these junctions with special emphasis on the biological flow networks.